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   </div>
   <div class="md-source__repository">
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+          </label>
         
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+        <nav class="md-nav" data-md-level="1" aria-labelledby="__nav_4_label" aria-expanded="false">
+          <label class="md-nav__title" for="__nav_4">
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+            CUDAプログラミングガイド
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+  <span class="md-ellipsis">
+    プログラミングモデル
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@@ -604,6 +555,19 @@
                   
 
   
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+    </a>
   
 
 
@@ -713,6 +677,61 @@ <h2 id="_3">参考</h2>
 
 
 
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+    <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date">2024-08-31</span>
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+    <span class="md-icon" title="Created">
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+    </span>
+    <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date">2023-09-30</span>
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+  <span class="md-source-file__fact">
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+  <span class="md-icon" title="Contributors">
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+        <a href="https://github.com/sukeya" class="md-author" title="@sukeya">
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@@ -726,6 +745,12 @@ <h2 id="_3">参考</h2>
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+</button>
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diff --git a/blog/how-to-use-alembic/index.html b/blog/how-to-use-alembic/index.html
index 69eb5b5..03a60d2 100644
--- a/blog/how-to-use-alembic/index.html
+++ b/blog/how-to-use-alembic/index.html
@@ -17,7 +17,7 @@
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@@ -791,369 +756,76 @@
   
 
     
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+    
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+    <li class="md-nav__item">
+      <a href="../../cuda_programming_guide/programming_model/" class="md-nav__link">
         
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+  <span class="md-ellipsis">
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@@ -1162,6 +834,19 @@
                   
 
   
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+    <a href="https://github.com/sukeya/sukeya.github.io/raw/main/docs/blog/how-to-use-alembic.md" title="View source of this page" class="md-content__button md-icon">
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@@ -1653,6 +1338,61 @@ <h2 id="_10">参考文献</h2>
 
 
 
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+    <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date">2023-02-28</span>
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@@ -1666,6 +1406,12 @@ <h2 id="_10">参考文献</h2>
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diff --git a/blog/memo/index.html b/blog/memo/index.html
index 34db7f9..260f5c2 100644
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@@ -13,7 +13,7 @@
       
       
       
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   </div>
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-    GitHub
+    sukeya/sukeya.github.io
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@@ -181,7 +144,9 @@
 
 
 
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   </div>
   <div class="md-source__repository">
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+    sukeya/sukeya.github.io
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 </a>
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@@ -415,132 +380,76 @@
   
 
     
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-</nav>
-                  </div>
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-            
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-              
-              <div class="md-sidebar md-sidebar--secondary" data-md-component="sidebar" data-md-type="toc" >
-                <div class="md-sidebar__scrollwrap">
-                  <div class="md-sidebar__inner">
-                    
-
-<nav class="md-nav md-nav--secondary" aria-label="Table of contents">
-  
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+      
+      
   
-    
   
   
-    <label class="md-nav__title" for="__toc">
-      <span class="md-nav__icon md-icon"></span>
-      Table of contents
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-    <ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
-      
-        <li class="md-nav__item">
-  <a href="#blenderalembic" class="md-nav__link">
-    <span class="md-ellipsis">
-      BlenderでAlembicを出力した場合
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-      
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-  <a href="#thrust" class="md-nav__link">
-    <span class="md-ellipsis">
-      Thrust
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-  
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+    
+    
+    
+    
+    <li class="md-nav__item md-nav__item--nested">
       
-        <li class="md-nav__item">
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-      C++
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-  
-    <nav class="md-nav" aria-label="C++">
-      <ul class="md-nav__list">
         
-          <li class="md-nav__item">
-  <a href="#boost" class="md-nav__link">
-    <span class="md-ellipsis">
-      Boost
-    </span>
-  </a>
+        
+        <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4" >
+        
+          
+          <label class="md-nav__link" for="__nav_4" id="__nav_4_label" tabindex="0">
+            
   
-</li>
+  <span class="md-ellipsis">
+    CUDAプログラミングガイド
+  </span>
+  
+
+            <span class="md-nav__icon md-icon"></span>
+          </label>
         
-      </ul>
-    </nav>
+        <nav class="md-nav" data-md-level="1" aria-labelledby="__nav_4_label" aria-expanded="false">
+          <label class="md-nav__title" for="__nav_4">
+            <span class="md-nav__icon md-icon"></span>
+            CUDAプログラミングガイド
+          </label>
+          <ul class="md-nav__list" data-md-scrollfix>
+            
+              
+                
   
-</li>
-      
-        <li class="md-nav__item">
-  <a href="#git" class="md-nav__link">
-    <span class="md-ellipsis">
-      Git
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-      
-        <li class="md-nav__item">
-  <a href="#petc" class="md-nav__link">
-    <span class="md-ellipsis">
-      PETc
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-  </a>
   
-    <nav class="md-nav" aria-label="PETc">
-      <ul class="md-nav__list">
-        
-          <li class="md-nav__item">
-  <a href="#petscc" class="md-nav__link">
-    <span class="md-ellipsis">
-      PETScのC++の機能を使うには
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@@ -643,6 +620,12 @@ <h2 id="_2">参考</h2>
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@@ -17,7 +17,7 @@
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+        <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4" >
         
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+  <span class="md-ellipsis">
+    CUDAプログラミングガイド
+  </span>
   
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+          </label>
         
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+        <nav class="md-nav" data-md-level="1" aria-labelledby="__nav_4_label" aria-expanded="false">
+          <label class="md-nav__title" for="__nav_4">
+            <span class="md-nav__icon md-icon"></span>
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+          <ul class="md-nav__list" data-md-scrollfix>
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+    <li class="md-nav__item">
+      <a href="../../cuda_programming_guide/programming_model/" class="md-nav__link">
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@@ -742,6 +624,19 @@
                   
 
   
+    <a href="https://github.com/sukeya/sukeya.github.io/edit/main/docs/blog/thrust-async.md" title="Edit this page" class="md-content__button md-icon">
+      
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+    </a>
+  
+  
+    
+      
+    
+    <a href="https://github.com/sukeya/sukeya.github.io/raw/main/docs/blog/thrust-async.md" title="View source of this page" class="md-content__button md-icon">
+      
+      <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M17 18c.56 0 1 .44 1 1s-.44 1-1 1-1-.44-1-1 .44-1 1-1m0-3c-2.73 0-5.06 1.66-6 4 .94 2.34 3.27 4 6 4s5.06-1.66 6-4c-.94-2.34-3.27-4-6-4m0 6.5a2.5 2.5 0 0 1-2.5-2.5 2.5 2.5 0 0 1 2.5-2.5 2.5 2.5 0 0 1 2.5 2.5 2.5 2.5 0 0 1-2.5 2.5M9.27 20H6V4h7v5h5v4.07c.7.08 1.36.25 2 .49V8l-6-6H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h4.5a8.2 8.2 0 0 1-1.23-2"/></svg>
+    </a>
   
 
 
@@ -773,92 +668,176 @@ <h2 id="cmake">CMakeプロジェクトの作成</h2>
 </span><span id="__span-0-5"><a id="__codelineno-0-5" name="__codelineno-0-5" href="#__codelineno-0-5"></a>     |- thrust/
 </span></code></pre></div>
 <p>CMakeLists.txtに以下を書きます。</p>
-<div class="language-cmake highlight"><span class="filename">CMakeLists.txt</span><pre><span></span><code><span id="__span-1-1"><a id="__codelineno-1-1" name="__codelineno-1-1" href="#__codelineno-1-1"></a><span class="nb">cmake_minimum_required</span><span class="p">(</span><span class="s">VERSION</span><span class="w"> </span><span class="s">3.27.7</span><span class="p">)</span>
-</span><span id="__span-1-2"><a id="__codelineno-1-2" name="__codelineno-1-2" href="#__codelineno-1-2"></a>
-</span><span id="__span-1-3"><a id="__codelineno-1-3" name="__codelineno-1-3" href="#__codelineno-1-3"></a><span class="c"># CUDAアーキテクチャを指定する。</span>
-</span><span id="__span-1-4"><a id="__codelineno-1-4" name="__codelineno-1-4" href="#__codelineno-1-4"></a><span class="c"># 最初に設定しないと、プロジェクトが作成できません。</span>
-</span><span id="__span-1-5"><a id="__codelineno-1-5" name="__codelineno-1-5" href="#__codelineno-1-5"></a><span class="nb">if</span><span class="p">(</span><span class="s">NOT</span><span class="w"> </span><span class="s">DEFINED</span><span class="w"> </span><span class="s">CMAKE_CUDA_ARCHITECTURES</span><span class="p">)</span>
-</span><span id="__span-1-6"><a id="__codelineno-1-6" name="__codelineno-1-6" href="#__codelineno-1-6"></a><span class="w">  </span><span class="nb">set</span><span class="p">(</span><span class="s">CMAKE_CUDA_ARCHITECTURES</span><span class="w"> </span><span class="s">native</span><span class="p">)</span>
-</span><span id="__span-1-7"><a id="__codelineno-1-7" name="__codelineno-1-7" href="#__codelineno-1-7"></a><span class="nb">endif</span><span class="p">()</span>
-</span><span id="__span-1-8"><a id="__codelineno-1-8" name="__codelineno-1-8" href="#__codelineno-1-8"></a>
-</span><span id="__span-1-9"><a id="__codelineno-1-9" name="__codelineno-1-9" href="#__codelineno-1-9"></a><span class="nb">project</span><span class="p">(</span><span class="s">my_program</span><span class="w"> </span><span class="s">VERSION</span><span class="w"> </span><span class="s">0.1.0</span><span class="w"> </span><span class="s">LANGUAGES</span><span class="w"> </span><span class="s">CXX</span><span class="w"> </span><span class="s">CUDA</span><span class="p">)</span>
-</span><span id="__span-1-10"><a id="__codelineno-1-10" name="__codelineno-1-10" href="#__codelineno-1-10"></a>
-</span><span id="__span-1-11"><a id="__codelineno-1-11" name="__codelineno-1-11" href="#__codelineno-1-11"></a><span class="c"># ここの設定はお好みで。</span>
-</span><span id="__span-1-12"><a id="__codelineno-1-12" name="__codelineno-1-12" href="#__codelineno-1-12"></a><span class="nb">set</span><span class="p">(</span><span class="s">CMAKE_CXX_EXTENSIONS</span><span class="w"> </span><span class="s">OFF</span><span class="p">)</span>
-</span><span id="__span-1-13"><a id="__codelineno-1-13" name="__codelineno-1-13" href="#__codelineno-1-13"></a><span class="nb">set</span><span class="p">(</span><span class="s">CMAKE_OPTIMIZE_DEPENDENCIES</span><span class="w"> </span><span class="s">ON</span><span class="p">)</span>
-</span><span id="__span-1-14"><a id="__codelineno-1-14" name="__codelineno-1-14" href="#__codelineno-1-14"></a>
-</span><span id="__span-1-15"><a id="__codelineno-1-15" name="__codelineno-1-15" href="#__codelineno-1-15"></a><span class="c"># CUDAを見つける。</span>
-</span><span id="__span-1-16"><a id="__codelineno-1-16" name="__codelineno-1-16" href="#__codelineno-1-16"></a><span class="nb">find_package</span><span class="p">(</span><span class="s">CUDAToolkit</span><span class="w"> </span><span class="s">12</span><span class="w"> </span><span class="s">REQUIRED</span><span class="p">)</span>
-</span><span id="__span-1-17"><a id="__codelineno-1-17" name="__codelineno-1-17" href="#__codelineno-1-17"></a>
-</span><span id="__span-1-18"><a id="__codelineno-1-18" name="__codelineno-1-18" href="#__codelineno-1-18"></a><span class="c"># Thrustを見つける。</span>
-</span><span id="__span-1-19"><a id="__codelineno-1-19" name="__codelineno-1-19" href="#__codelineno-1-19"></a><span class="nb">add_subdirectory</span><span class="p">(</span><span class="s">thrust</span><span class="p">)</span>
-</span><span id="__span-1-20"><a id="__codelineno-1-20" name="__codelineno-1-20" href="#__codelineno-1-20"></a><span class="nb">find_package</span><span class="p">(</span><span class="s">Thrust</span><span class="w"> </span><span class="s">REQUIRED</span><span class="w"> </span><span class="s">CONFIG</span><span class="p">)</span>
-</span><span id="__span-1-21"><a id="__codelineno-1-21" name="__codelineno-1-21" href="#__codelineno-1-21"></a><span class="nb">thrust_create_target</span><span class="p">(</span><span class="s">Thrust</span><span class="p">)</span>
-</span><span id="__span-1-22"><a id="__codelineno-1-22" name="__codelineno-1-22" href="#__codelineno-1-22"></a>
-</span><span id="__span-1-23"><a id="__codelineno-1-23" name="__codelineno-1-23" href="#__codelineno-1-23"></a><span class="c"># CUDAライブラリを作る。</span>
-</span><span id="__span-1-24"><a id="__codelineno-1-24" name="__codelineno-1-24" href="#__codelineno-1-24"></a><span class="nb">add_library</span><span class="p">(</span><span class="s">double</span><span class="w"> </span><span class="s">double.cu</span><span class="p">)</span>
-</span><span id="__span-1-25"><a id="__codelineno-1-25" name="__codelineno-1-25" href="#__codelineno-1-25"></a><span class="nb">target_compile_options</span><span class="p">(</span>
-</span><span id="__span-1-26"><a id="__codelineno-1-26" name="__codelineno-1-26" href="#__codelineno-1-26"></a><span class="w">  </span><span class="s">double</span>
-</span><span id="__span-1-27"><a id="__codelineno-1-27" name="__codelineno-1-27" href="#__codelineno-1-27"></a><span class="w">  </span><span class="s">PRIVATE</span>
-</span><span id="__span-1-28"><a id="__codelineno-1-28" name="__codelineno-1-28" href="#__codelineno-1-28"></a><span class="w">    </span><span class="c"># C++14以上が必要</span>
-</span><span id="__span-1-29"><a id="__codelineno-1-29" name="__codelineno-1-29" href="#__codelineno-1-29"></a><span class="w">    </span><span class="s">cxx_std_14</span>
-</span><span id="__span-1-30"><a id="__codelineno-1-30" name="__codelineno-1-30" href="#__codelineno-1-30"></a><span class="w">    </span><span class="c"># ラムダ式をデバイスコードで使えるようにする。</span>
-</span><span id="__span-1-31"><a id="__codelineno-1-31" name="__codelineno-1-31" href="#__codelineno-1-31"></a><span class="w">    </span><span class="s">-expt-extended-lambda</span>
-</span><span id="__span-1-32"><a id="__codelineno-1-32" name="__codelineno-1-32" href="#__codelineno-1-32"></a><span class="w">    </span><span class="c"># SIMDを無効にする。</span>
-</span><span id="__span-1-33"><a id="__codelineno-1-33" name="__codelineno-1-33" href="#__codelineno-1-33"></a><span class="w">    </span><span class="c"># SIMDの無効化は必須ではありませんが、Eigenなど線形代数ライブラリを使う際に必要になります。</span>
-</span><span id="__span-1-34"><a id="__codelineno-1-34" name="__codelineno-1-34" href="#__codelineno-1-34"></a><span class="w">    </span><span class="s2">&quot;$&lt;$&lt;COMPILE_LANG_AND_ID:CXX,GNU&gt;:-fno-tree-vectorize&gt;&quot;</span>
-</span><span id="__span-1-35"><a id="__codelineno-1-35" name="__codelineno-1-35" href="#__codelineno-1-35"></a><span class="w">    </span><span class="s2">&quot;$&lt;$&lt;COMPILE_LANG_AND_ID:CXX,Clang&gt;:-fno-vectorize&gt;&quot;</span>
-</span><span id="__span-1-36"><a id="__codelineno-1-36" name="__codelineno-1-36" href="#__codelineno-1-36"></a><span class="p">)</span>
-</span><span id="__span-1-37"><a id="__codelineno-1-37" name="__codelineno-1-37" href="#__codelineno-1-37"></a><span class="c"># ここはお好みで。</span>
-</span><span id="__span-1-38"><a id="__codelineno-1-38" name="__codelineno-1-38" href="#__codelineno-1-38"></a><span class="nb">target_compile_features</span><span class="p">(</span>
-</span><span id="__span-1-39"><a id="__codelineno-1-39" name="__codelineno-1-39" href="#__codelineno-1-39"></a><span class="w">  </span><span class="s">double</span>
-</span><span id="__span-1-40"><a id="__codelineno-1-40" name="__codelineno-1-40" href="#__codelineno-1-40"></a><span class="w">  </span><span class="s">PRIVATE</span>
-</span><span id="__span-1-41"><a id="__codelineno-1-41" name="__codelineno-1-41" href="#__codelineno-1-41"></a><span class="w">    </span><span class="s">cuda_std_20</span>
-</span><span id="__span-1-42"><a id="__codelineno-1-42" name="__codelineno-1-42" href="#__codelineno-1-42"></a><span class="p">)</span>
-</span><span id="__span-1-43"><a id="__codelineno-1-43" name="__codelineno-1-43" href="#__codelineno-1-43"></a><span class="c"># 誰もインストールしないはずなので、簡略に。</span>
-</span><span id="__span-1-44"><a id="__codelineno-1-44" name="__codelineno-1-44" href="#__codelineno-1-44"></a><span class="nb">target_include_directories</span><span class="p">(</span>
-</span><span id="__span-1-45"><a id="__codelineno-1-45" name="__codelineno-1-45" href="#__codelineno-1-45"></a><span class="w">  </span><span class="s">double</span>
-</span><span id="__span-1-46"><a id="__codelineno-1-46" name="__codelineno-1-46" href="#__codelineno-1-46"></a><span class="w">  </span><span class="s">PUBLIC</span><span class="w"> </span>
-</span><span id="__span-1-47"><a id="__codelineno-1-47" name="__codelineno-1-47" href="#__codelineno-1-47"></a><span class="w">    </span><span class="o">${</span><span class="nv">CMAKE_CURRENT_SOURCE_DIR</span><span class="o">}</span>
-</span><span id="__span-1-48"><a id="__codelineno-1-48" name="__codelineno-1-48" href="#__codelineno-1-48"></a><span class="p">)</span>
-</span><span id="__span-1-49"><a id="__codelineno-1-49" name="__codelineno-1-49" href="#__codelineno-1-49"></a><span class="c"># CUDAランタイムとThrustをリンクする。</span>
-</span><span id="__span-1-50"><a id="__codelineno-1-50" name="__codelineno-1-50" href="#__codelineno-1-50"></a><span class="c"># 当たり前ですが、ThrustにはCUDAはないので。</span>
-</span><span id="__span-1-51"><a id="__codelineno-1-51" name="__codelineno-1-51" href="#__codelineno-1-51"></a><span class="nb">target_link_libraries</span><span class="p">(</span>
-</span><span id="__span-1-52"><a id="__codelineno-1-52" name="__codelineno-1-52" href="#__codelineno-1-52"></a><span class="w">  </span><span class="s">double</span>
-</span><span id="__span-1-53"><a id="__codelineno-1-53" name="__codelineno-1-53" href="#__codelineno-1-53"></a><span class="w">  </span><span class="s">PUBLIC</span>
-</span><span id="__span-1-54"><a id="__codelineno-1-54" name="__codelineno-1-54" href="#__codelineno-1-54"></a><span class="w">    </span><span class="s">CUDA::cudart</span>
-</span><span id="__span-1-55"><a id="__codelineno-1-55" name="__codelineno-1-55" href="#__codelineno-1-55"></a><span class="w">    </span><span class="s">Thrust</span>
-</span><span id="__span-1-56"><a id="__codelineno-1-56" name="__codelineno-1-56" href="#__codelineno-1-56"></a><span class="p">)</span>
-</span><span id="__span-1-57"><a id="__codelineno-1-57" name="__codelineno-1-57" href="#__codelineno-1-57"></a>
-</span><span id="__span-1-58"><a id="__codelineno-1-58" name="__codelineno-1-58" href="#__codelineno-1-58"></a><span class="c"># my_programを作る。</span>
-</span><span id="__span-1-59"><a id="__codelineno-1-59" name="__codelineno-1-59" href="#__codelineno-1-59"></a><span class="nb">add_executable</span><span class="p">(</span><span class="s">my_program</span><span class="w"> </span><span class="s">main.cpp</span><span class="p">)</span>
-</span><span id="__span-1-60"><a id="__codelineno-1-60" name="__codelineno-1-60" href="#__codelineno-1-60"></a><span class="nb">target_link_libraries</span><span class="p">(</span>
-</span><span id="__span-1-61"><a id="__codelineno-1-61" name="__codelineno-1-61" href="#__codelineno-1-61"></a><span class="w">  </span><span class="s">my_program</span>
-</span><span id="__span-1-62"><a id="__codelineno-1-62" name="__codelineno-1-62" href="#__codelineno-1-62"></a><span class="w">  </span><span class="s">PRIVATE</span>
-</span><span id="__span-1-63"><a id="__codelineno-1-63" name="__codelineno-1-63" href="#__codelineno-1-63"></a><span class="w">    </span><span class="s">double</span>
-</span><span id="__span-1-64"><a id="__codelineno-1-64" name="__codelineno-1-64" href="#__codelineno-1-64"></a><span class="p">)</span>
-</span><span id="__span-1-65"><a id="__codelineno-1-65" name="__codelineno-1-65" href="#__codelineno-1-65"></a><span class="c"># ここはお好みで。</span>
-</span><span id="__span-1-66"><a id="__codelineno-1-66" name="__codelineno-1-66" href="#__codelineno-1-66"></a><span class="nb">target_compile_features</span><span class="p">(</span>
-</span><span id="__span-1-67"><a id="__codelineno-1-67" name="__codelineno-1-67" href="#__codelineno-1-67"></a><span class="w">  </span><span class="s">my_program</span>
-</span><span id="__span-1-68"><a id="__codelineno-1-68" name="__codelineno-1-68" href="#__codelineno-1-68"></a><span class="w">  </span><span class="s">PRIVATE</span>
-</span><span id="__span-1-69"><a id="__codelineno-1-69" name="__codelineno-1-69" href="#__codelineno-1-69"></a><span class="w">    </span><span class="s">cxx_std_20</span>
-</span><span id="__span-1-70"><a id="__codelineno-1-70" name="__codelineno-1-70" href="#__codelineno-1-70"></a><span class="p">)</span>
-</span><span id="__span-1-71"><a id="__codelineno-1-71" name="__codelineno-1-71" href="#__codelineno-1-71"></a><span class="c"># ここはお好みで。</span>
-</span><span id="__span-1-72"><a id="__codelineno-1-72" name="__codelineno-1-72" href="#__codelineno-1-72"></a><span class="nb">target_compile_options</span><span class="p">(</span>
-</span><span id="__span-1-73"><a id="__codelineno-1-73" name="__codelineno-1-73" href="#__codelineno-1-73"></a><span class="w">  </span><span class="s">my_program</span>
-</span><span id="__span-1-74"><a id="__codelineno-1-74" name="__codelineno-1-74" href="#__codelineno-1-74"></a><span class="w">  </span><span class="s">PRIVATE</span>
-</span><span id="__span-1-75"><a id="__codelineno-1-75" name="__codelineno-1-75" href="#__codelineno-1-75"></a><span class="w">    </span><span class="s2">&quot;$&lt;$&lt;CONFIG:Debug&gt;:-g;-O0;-Wall;-Wextra&gt;&quot;</span>
-</span><span id="__span-1-76"><a id="__codelineno-1-76" name="__codelineno-1-76" href="#__codelineno-1-76"></a><span class="w">    </span><span class="s2">&quot;$&lt;$&lt;CONFIG:Release&gt;:-DNDEBUG;-O3;-march=native;-mtune=native&gt;&quot;</span>
-</span><span id="__span-1-77"><a id="__codelineno-1-77" name="__codelineno-1-77" href="#__codelineno-1-77"></a><span class="p">)</span>
-</span><span id="__span-1-78"><a id="__codelineno-1-78" name="__codelineno-1-78" href="#__codelineno-1-78"></a><span class="c"># CUDA 5.0以前のバージョンでは、デバイスコードで使用する関数の実装までインクルードする必要が</span>
-</span><span id="__span-1-79"><a id="__codelineno-1-79" name="__codelineno-1-79" href="#__codelineno-1-79"></a><span class="c"># ありましたが、CUDA 5.0以降では、デバイスコードで使用する関数の宣言のみをインクルードするだけで</span>
-</span><span id="__span-1-80"><a id="__codelineno-1-80" name="__codelineno-1-80" href="#__codelineno-1-80"></a><span class="c"># 十分になりました。</span>
-</span><span id="__span-1-81"><a id="__codelineno-1-81" name="__codelineno-1-81" href="#__codelineno-1-81"></a><span class="c"># このことをコンパイラとリンカーに伝えるために、CUDA_SEPARABLE_COMPILATIONプロパティをONに</span>
-</span><span id="__span-1-82"><a id="__codelineno-1-82" name="__codelineno-1-82" href="#__codelineno-1-82"></a><span class="c"># しています。</span>
-</span><span id="__span-1-83"><a id="__codelineno-1-83" name="__codelineno-1-83" href="#__codelineno-1-83"></a><span class="c"># ただし、このプロパティは実行ファイルにのみONに設定して下さい。</span>
-</span><span id="__span-1-84"><a id="__codelineno-1-84" name="__codelineno-1-84" href="#__codelineno-1-84"></a><span class="c"># 詳しくは参考文献1を参照してください。</span>
-</span><span id="__span-1-85"><a id="__codelineno-1-85" name="__codelineno-1-85" href="#__codelineno-1-85"></a><span class="nb">set_property</span><span class="p">(</span><span class="s">TARGET</span><span class="w"> </span><span class="s">my_program</span><span class="w"> </span><span class="s">PROPERTY</span><span class="w"> </span><span class="s">CUDA_SEPARABLE_COMPILATION</span><span class="w"> </span><span class="s">ON</span><span class="p">)</span>
-</span></code></pre></div>
+<div class="language-cmake highlight"><table class="highlighttable"><tr><th colspan="2" class="filename"><span class="filename">CMakeLists.txt</span></th></tr><tr><td class="linenos"><div class="linenodiv"><pre><span></span><span class="normal"><a href="#__codelineno-1-1"> 1</a></span>
+<span class="normal"><a href="#__codelineno-1-2"> 2</a></span>
+<span class="normal"><a href="#__codelineno-1-3"> 3</a></span>
+<span class="normal"><a href="#__codelineno-1-4"> 4</a></span>
+<span class="normal"><a href="#__codelineno-1-5"> 5</a></span>
+<span class="normal"><a href="#__codelineno-1-6"> 6</a></span>
+<span class="normal"><a href="#__codelineno-1-7"> 7</a></span>
+<span class="normal"><a href="#__codelineno-1-8"> 8</a></span>
+<span class="normal"><a href="#__codelineno-1-9"> 9</a></span>
+<span class="normal"><a href="#__codelineno-1-10">10</a></span>
+<span class="normal"><a href="#__codelineno-1-11">11</a></span>
+<span class="normal"><a href="#__codelineno-1-12">12</a></span>
+<span class="normal"><a href="#__codelineno-1-13">13</a></span>
+<span class="normal"><a href="#__codelineno-1-14">14</a></span>
+<span class="normal"><a href="#__codelineno-1-15">15</a></span>
+<span class="normal"><a href="#__codelineno-1-16">16</a></span>
+<span class="normal"><a href="#__codelineno-1-17">17</a></span>
+<span class="normal"><a href="#__codelineno-1-18">18</a></span>
+<span class="normal"><a href="#__codelineno-1-19">19</a></span>
+<span class="normal"><a href="#__codelineno-1-20">20</a></span>
+<span class="normal"><a href="#__codelineno-1-21">21</a></span>
+<span class="normal"><a href="#__codelineno-1-22">22</a></span>
+<span class="normal"><a href="#__codelineno-1-23">23</a></span>
+<span class="normal"><a href="#__codelineno-1-24">24</a></span>
+<span class="normal"><a href="#__codelineno-1-25">25</a></span>
+<span class="normal"><a href="#__codelineno-1-26">26</a></span>
+<span class="normal"><a href="#__codelineno-1-27">27</a></span>
+<span class="normal"><a href="#__codelineno-1-28">28</a></span>
+<span class="normal"><a href="#__codelineno-1-29">29</a></span>
+<span class="normal"><a href="#__codelineno-1-30">30</a></span>
+<span class="normal"><a href="#__codelineno-1-31">31</a></span>
+<span class="normal"><a href="#__codelineno-1-32">32</a></span>
+<span class="normal"><a href="#__codelineno-1-33">33</a></span>
+<span class="normal"><a href="#__codelineno-1-34">34</a></span>
+<span class="normal"><a href="#__codelineno-1-35">35</a></span>
+<span class="normal"><a href="#__codelineno-1-36">36</a></span>
+<span class="normal"><a href="#__codelineno-1-37">37</a></span>
+<span class="normal"><a href="#__codelineno-1-38">38</a></span>
+<span class="normal"><a href="#__codelineno-1-39">39</a></span>
+<span class="normal"><a href="#__codelineno-1-40">40</a></span>
+<span class="normal"><a href="#__codelineno-1-41">41</a></span>
+<span class="normal"><a href="#__codelineno-1-42">42</a></span>
+<span class="normal"><a href="#__codelineno-1-43">43</a></span>
+<span class="normal"><a href="#__codelineno-1-44">44</a></span>
+<span class="normal"><a href="#__codelineno-1-45">45</a></span>
+<span class="normal"><a href="#__codelineno-1-46">46</a></span>
+<span class="normal"><a href="#__codelineno-1-47">47</a></span>
+<span class="normal"><a href="#__codelineno-1-48">48</a></span>
+<span class="normal"><a href="#__codelineno-1-49">49</a></span>
+<span class="normal"><a href="#__codelineno-1-50">50</a></span>
+<span class="normal"><a href="#__codelineno-1-51">51</a></span>
+<span class="normal"><a href="#__codelineno-1-52">52</a></span>
+<span class="normal"><a href="#__codelineno-1-53">53</a></span>
+<span class="normal"><a href="#__codelineno-1-54">54</a></span>
+<span class="normal"><a href="#__codelineno-1-55">55</a></span>
+<span class="normal"><a href="#__codelineno-1-56">56</a></span>
+<span class="normal"><a href="#__codelineno-1-57">57</a></span>
+<span class="normal"><a href="#__codelineno-1-58">58</a></span>
+<span class="normal"><a href="#__codelineno-1-59">59</a></span>
+<span class="normal"><a href="#__codelineno-1-60">60</a></span>
+<span class="normal"><a href="#__codelineno-1-61">61</a></span>
+<span class="normal"><a href="#__codelineno-1-62">62</a></span>
+<span class="normal"><a href="#__codelineno-1-63">63</a></span>
+<span class="normal"><a href="#__codelineno-1-64">64</a></span>
+<span class="normal"><a href="#__codelineno-1-65">65</a></span>
+<span class="normal"><a href="#__codelineno-1-66">66</a></span>
+<span class="normal"><a href="#__codelineno-1-67">67</a></span>
+<span class="normal"><a href="#__codelineno-1-68">68</a></span>
+<span class="normal"><a href="#__codelineno-1-69">69</a></span>
+<span class="normal"><a href="#__codelineno-1-70">70</a></span>
+<span class="normal"><a href="#__codelineno-1-71">71</a></span>
+<span class="normal"><a href="#__codelineno-1-72">72</a></span>
+<span class="normal"><a href="#__codelineno-1-73">73</a></span>
+<span class="normal"><a href="#__codelineno-1-74">74</a></span>
+<span class="normal"><a href="#__codelineno-1-75">75</a></span>
+<span class="normal"><a href="#__codelineno-1-76">76</a></span>
+<span class="normal"><a href="#__codelineno-1-77">77</a></span>
+<span class="normal"><a href="#__codelineno-1-78">78</a></span>
+<span class="normal"><a href="#__codelineno-1-79">79</a></span>
+<span class="normal"><a href="#__codelineno-1-80">80</a></span>
+<span class="normal"><a href="#__codelineno-1-81">81</a></span>
+<span class="normal"><a href="#__codelineno-1-82">82</a></span>
+<span class="normal"><a href="#__codelineno-1-83">83</a></span>
+<span class="normal"><a href="#__codelineno-1-84">84</a></span>
+<span class="normal"><a href="#__codelineno-1-85">85</a></span></pre></div></td><td class="code"><div><pre><span></span><code><span id="__span-1-1"><a id="__codelineno-1-1" name="__codelineno-1-1"></a><span class="nb">cmake_minimum_required</span><span class="p">(</span><span class="s">VERSION</span><span class="w"> </span><span class="s">3.27.7</span><span class="p">)</span>
+</span><span id="__span-1-2"><a id="__codelineno-1-2" name="__codelineno-1-2"></a>
+</span><span id="__span-1-3"><a id="__codelineno-1-3" name="__codelineno-1-3"></a><span class="c"># CUDAアーキテクチャを指定する。</span>
+</span><span id="__span-1-4"><a id="__codelineno-1-4" name="__codelineno-1-4"></a><span class="c"># 最初に設定しないと、プロジェクトが作成できません。</span>
+</span><span id="__span-1-5"><a id="__codelineno-1-5" name="__codelineno-1-5"></a><span class="nb">if</span><span class="p">(</span><span class="s">NOT</span><span class="w"> </span><span class="s">DEFINED</span><span class="w"> </span><span class="s">CMAKE_CUDA_ARCHITECTURES</span><span class="p">)</span>
+</span><span id="__span-1-6"><a id="__codelineno-1-6" name="__codelineno-1-6"></a><span class="w">  </span><span class="nb">set</span><span class="p">(</span><span class="s">CMAKE_CUDA_ARCHITECTURES</span><span class="w"> </span><span class="s">native</span><span class="p">)</span>
+</span><span id="__span-1-7"><a id="__codelineno-1-7" name="__codelineno-1-7"></a><span class="nb">endif</span><span class="p">()</span>
+</span><span id="__span-1-8"><a id="__codelineno-1-8" name="__codelineno-1-8"></a>
+</span><span id="__span-1-9"><a id="__codelineno-1-9" name="__codelineno-1-9"></a><span class="nb">project</span><span class="p">(</span><span class="s">my_program</span><span class="w"> </span><span class="s">VERSION</span><span class="w"> </span><span class="s">0.1.0</span><span class="w"> </span><span class="s">LANGUAGES</span><span class="w"> </span><span class="s">CXX</span><span class="w"> </span><span class="s">CUDA</span><span class="p">)</span>
+</span><span id="__span-1-10"><a id="__codelineno-1-10" name="__codelineno-1-10"></a>
+</span><span id="__span-1-11"><a id="__codelineno-1-11" name="__codelineno-1-11"></a><span class="c"># ここの設定はお好みで。</span>
+</span><span id="__span-1-12"><a id="__codelineno-1-12" name="__codelineno-1-12"></a><span class="nb">set</span><span class="p">(</span><span class="s">CMAKE_CXX_EXTENSIONS</span><span class="w"> </span><span class="s">OFF</span><span class="p">)</span>
+</span><span id="__span-1-13"><a id="__codelineno-1-13" name="__codelineno-1-13"></a><span class="nb">set</span><span class="p">(</span><span class="s">CMAKE_OPTIMIZE_DEPENDENCIES</span><span class="w"> </span><span class="s">ON</span><span class="p">)</span>
+</span><span id="__span-1-14"><a id="__codelineno-1-14" name="__codelineno-1-14"></a>
+</span><span id="__span-1-15"><a id="__codelineno-1-15" name="__codelineno-1-15"></a><span class="c"># CUDAを見つける。</span>
+</span><span id="__span-1-16"><a id="__codelineno-1-16" name="__codelineno-1-16"></a><span class="nb">find_package</span><span class="p">(</span><span class="s">CUDAToolkit</span><span class="w"> </span><span class="s">12</span><span class="w"> </span><span class="s">REQUIRED</span><span class="p">)</span>
+</span><span id="__span-1-17"><a id="__codelineno-1-17" name="__codelineno-1-17"></a>
+</span><span id="__span-1-18"><a id="__codelineno-1-18" name="__codelineno-1-18"></a><span class="c"># Thrustを見つける。</span>
+</span><span id="__span-1-19"><a id="__codelineno-1-19" name="__codelineno-1-19"></a><span class="nb">add_subdirectory</span><span class="p">(</span><span class="s">thrust</span><span class="p">)</span>
+</span><span id="__span-1-20"><a id="__codelineno-1-20" name="__codelineno-1-20"></a><span class="nb">find_package</span><span class="p">(</span><span class="s">Thrust</span><span class="w"> </span><span class="s">REQUIRED</span><span class="w"> </span><span class="s">CONFIG</span><span class="p">)</span>
+</span><span id="__span-1-21"><a id="__codelineno-1-21" name="__codelineno-1-21"></a><span class="nb">thrust_create_target</span><span class="p">(</span><span class="s">Thrust</span><span class="p">)</span>
+</span><span id="__span-1-22"><a id="__codelineno-1-22" name="__codelineno-1-22"></a>
+</span><span id="__span-1-23"><a id="__codelineno-1-23" name="__codelineno-1-23"></a><span class="c"># CUDAライブラリを作る。</span>
+</span><span id="__span-1-24"><a id="__codelineno-1-24" name="__codelineno-1-24"></a><span class="nb">add_library</span><span class="p">(</span><span class="s">double</span><span class="w"> </span><span class="s">double.cu</span><span class="p">)</span>
+</span><span id="__span-1-25"><a id="__codelineno-1-25" name="__codelineno-1-25"></a><span class="nb">target_compile_options</span><span class="p">(</span>
+</span><span id="__span-1-26"><a id="__codelineno-1-26" name="__codelineno-1-26"></a><span class="w">  </span><span class="s">double</span>
+</span><span id="__span-1-27"><a id="__codelineno-1-27" name="__codelineno-1-27"></a><span class="w">  </span><span class="s">PRIVATE</span>
+</span><span id="__span-1-28"><a id="__codelineno-1-28" name="__codelineno-1-28"></a><span class="w">    </span><span class="c"># C++14以上が必要</span>
+</span><span id="__span-1-29"><a id="__codelineno-1-29" name="__codelineno-1-29"></a><span class="w">    </span><span class="s">cxx_std_14</span>
+</span><span id="__span-1-30"><a id="__codelineno-1-30" name="__codelineno-1-30"></a><span class="w">    </span><span class="c"># ラムダ式をデバイスコードで使えるようにする。</span>
+</span><span id="__span-1-31"><a id="__codelineno-1-31" name="__codelineno-1-31"></a><span class="w">    </span><span class="s">-expt-extended-lambda</span>
+</span><span id="__span-1-32"><a id="__codelineno-1-32" name="__codelineno-1-32"></a><span class="w">    </span><span class="c"># SIMDを無効にする。</span>
+</span><span id="__span-1-33"><a id="__codelineno-1-33" name="__codelineno-1-33"></a><span class="w">    </span><span class="c"># SIMDの無効化は必須ではありませんが、Eigenなど線形代数ライブラリを使う際に必要になります。</span>
+</span><span id="__span-1-34"><a id="__codelineno-1-34" name="__codelineno-1-34"></a><span class="w">    </span><span class="s2">&quot;$&lt;$&lt;COMPILE_LANG_AND_ID:CXX,GNU&gt;:-fno-tree-vectorize&gt;&quot;</span>
+</span><span id="__span-1-35"><a id="__codelineno-1-35" name="__codelineno-1-35"></a><span class="w">    </span><span class="s2">&quot;$&lt;$&lt;COMPILE_LANG_AND_ID:CXX,Clang&gt;:-fno-vectorize&gt;&quot;</span>
+</span><span id="__span-1-36"><a id="__codelineno-1-36" name="__codelineno-1-36"></a><span class="p">)</span>
+</span><span id="__span-1-37"><a id="__codelineno-1-37" name="__codelineno-1-37"></a><span class="c"># ここはお好みで。</span>
+</span><span id="__span-1-38"><a id="__codelineno-1-38" name="__codelineno-1-38"></a><span class="nb">target_compile_features</span><span class="p">(</span>
+</span><span id="__span-1-39"><a id="__codelineno-1-39" name="__codelineno-1-39"></a><span class="w">  </span><span class="s">double</span>
+</span><span id="__span-1-40"><a id="__codelineno-1-40" name="__codelineno-1-40"></a><span class="w">  </span><span class="s">PRIVATE</span>
+</span><span id="__span-1-41"><a id="__codelineno-1-41" name="__codelineno-1-41"></a><span class="w">    </span><span class="s">cuda_std_20</span>
+</span><span id="__span-1-42"><a id="__codelineno-1-42" name="__codelineno-1-42"></a><span class="p">)</span>
+</span><span id="__span-1-43"><a id="__codelineno-1-43" name="__codelineno-1-43"></a><span class="c"># 誰もインストールしないはずなので、簡略に。</span>
+</span><span id="__span-1-44"><a id="__codelineno-1-44" name="__codelineno-1-44"></a><span class="nb">target_include_directories</span><span class="p">(</span>
+</span><span id="__span-1-45"><a id="__codelineno-1-45" name="__codelineno-1-45"></a><span class="w">  </span><span class="s">double</span>
+</span><span id="__span-1-46"><a id="__codelineno-1-46" name="__codelineno-1-46"></a><span class="w">  </span><span class="s">PUBLIC</span><span class="w"> </span>
+</span><span id="__span-1-47"><a id="__codelineno-1-47" name="__codelineno-1-47"></a><span class="w">    </span><span class="o">${</span><span class="nv">CMAKE_CURRENT_SOURCE_DIR</span><span class="o">}</span>
+</span><span id="__span-1-48"><a id="__codelineno-1-48" name="__codelineno-1-48"></a><span class="p">)</span>
+</span><span id="__span-1-49"><a id="__codelineno-1-49" name="__codelineno-1-49"></a><span class="c"># CUDAランタイムとThrustをリンクする。</span>
+</span><span id="__span-1-50"><a id="__codelineno-1-50" name="__codelineno-1-50"></a><span class="c"># 当たり前ですが、ThrustにはCUDAはないので。</span>
+</span><span id="__span-1-51"><a id="__codelineno-1-51" name="__codelineno-1-51"></a><span class="nb">target_link_libraries</span><span class="p">(</span>
+</span><span id="__span-1-52"><a id="__codelineno-1-52" name="__codelineno-1-52"></a><span class="w">  </span><span class="s">double</span>
+</span><span id="__span-1-53"><a id="__codelineno-1-53" name="__codelineno-1-53"></a><span class="w">  </span><span class="s">PUBLIC</span>
+</span><span id="__span-1-54"><a id="__codelineno-1-54" name="__codelineno-1-54"></a><span class="w">    </span><span class="s">CUDA::cudart</span>
+</span><span id="__span-1-55"><a id="__codelineno-1-55" name="__codelineno-1-55"></a><span class="w">    </span><span class="s">Thrust</span>
+</span><span id="__span-1-56"><a id="__codelineno-1-56" name="__codelineno-1-56"></a><span class="p">)</span>
+</span><span id="__span-1-57"><a id="__codelineno-1-57" name="__codelineno-1-57"></a>
+</span><span id="__span-1-58"><a id="__codelineno-1-58" name="__codelineno-1-58"></a><span class="c"># my_programを作る。</span>
+</span><span id="__span-1-59"><a id="__codelineno-1-59" name="__codelineno-1-59"></a><span class="nb">add_executable</span><span class="p">(</span><span class="s">my_program</span><span class="w"> </span><span class="s">main.cpp</span><span class="p">)</span>
+</span><span id="__span-1-60"><a id="__codelineno-1-60" name="__codelineno-1-60"></a><span class="nb">target_link_libraries</span><span class="p">(</span>
+</span><span id="__span-1-61"><a id="__codelineno-1-61" name="__codelineno-1-61"></a><span class="w">  </span><span class="s">my_program</span>
+</span><span id="__span-1-62"><a id="__codelineno-1-62" name="__codelineno-1-62"></a><span class="w">  </span><span class="s">PRIVATE</span>
+</span><span id="__span-1-63"><a id="__codelineno-1-63" name="__codelineno-1-63"></a><span class="w">    </span><span class="s">double</span>
+</span><span id="__span-1-64"><a id="__codelineno-1-64" name="__codelineno-1-64"></a><span class="p">)</span>
+</span><span id="__span-1-65"><a id="__codelineno-1-65" name="__codelineno-1-65"></a><span class="c"># ここはお好みで。</span>
+</span><span id="__span-1-66"><a id="__codelineno-1-66" name="__codelineno-1-66"></a><span class="nb">target_compile_features</span><span class="p">(</span>
+</span><span id="__span-1-67"><a id="__codelineno-1-67" name="__codelineno-1-67"></a><span class="w">  </span><span class="s">my_program</span>
+</span><span id="__span-1-68"><a id="__codelineno-1-68" name="__codelineno-1-68"></a><span class="w">  </span><span class="s">PRIVATE</span>
+</span><span id="__span-1-69"><a id="__codelineno-1-69" name="__codelineno-1-69"></a><span class="w">    </span><span class="s">cxx_std_20</span>
+</span><span id="__span-1-70"><a id="__codelineno-1-70" name="__codelineno-1-70"></a><span class="p">)</span>
+</span><span id="__span-1-71"><a id="__codelineno-1-71" name="__codelineno-1-71"></a><span class="c"># ここはお好みで。</span>
+</span><span id="__span-1-72"><a id="__codelineno-1-72" name="__codelineno-1-72"></a><span class="nb">target_compile_options</span><span class="p">(</span>
+</span><span id="__span-1-73"><a id="__codelineno-1-73" name="__codelineno-1-73"></a><span class="w">  </span><span class="s">my_program</span>
+</span><span id="__span-1-74"><a id="__codelineno-1-74" name="__codelineno-1-74"></a><span class="w">  </span><span class="s">PRIVATE</span>
+</span><span id="__span-1-75"><a id="__codelineno-1-75" name="__codelineno-1-75"></a><span class="w">    </span><span class="s2">&quot;$&lt;$&lt;CONFIG:Debug&gt;:-g;-O0;-Wall;-Wextra&gt;&quot;</span>
+</span><span id="__span-1-76"><a id="__codelineno-1-76" name="__codelineno-1-76"></a><span class="w">    </span><span class="s2">&quot;$&lt;$&lt;CONFIG:Release&gt;:-DNDEBUG;-O3;-march=native;-mtune=native&gt;&quot;</span>
+</span><span id="__span-1-77"><a id="__codelineno-1-77" name="__codelineno-1-77"></a><span class="p">)</span>
+</span><span id="__span-1-78"><a id="__codelineno-1-78" name="__codelineno-1-78"></a><span class="c"># CUDA 5.0以前のバージョンでは、デバイスコードで使用する関数の実装までインクルードする必要が</span>
+</span><span id="__span-1-79"><a id="__codelineno-1-79" name="__codelineno-1-79"></a><span class="c"># ありましたが、CUDA 5.0以降では、デバイスコードで使用する関数の宣言のみをインクルードするだけで</span>
+</span><span id="__span-1-80"><a id="__codelineno-1-80" name="__codelineno-1-80"></a><span class="c"># 十分になりました。</span>
+</span><span id="__span-1-81"><a id="__codelineno-1-81" name="__codelineno-1-81"></a><span class="c"># このことをコンパイラとリンカーに伝えるために、CUDA_SEPARABLE_COMPILATIONプロパティをONに</span>
+</span><span id="__span-1-82"><a id="__codelineno-1-82" name="__codelineno-1-82"></a><span class="c"># しています。</span>
+</span><span id="__span-1-83"><a id="__codelineno-1-83" name="__codelineno-1-83"></a><span class="c"># ただし、このプロパティは実行ファイルにのみONに設定して下さい。</span>
+</span><span id="__span-1-84"><a id="__codelineno-1-84" name="__codelineno-1-84"></a><span class="c"># 詳しくは参考文献1を参照してください。</span>
+</span><span id="__span-1-85"><a id="__codelineno-1-85" name="__codelineno-1-85"></a><span class="nb">set_property</span><span class="p">(</span><span class="s">TARGET</span><span class="w"> </span><span class="s">my_program</span><span class="w"> </span><span class="s">PROPERTY</span><span class="w"> </span><span class="s">CUDA_SEPARABLE_COMPILATION</span><span class="w"> </span><span class="s">ON</span><span class="p">)</span>
+</span></code></pre></div></td></tr></table></div>
 <h2 id="thrust_2">Thrustの非同期実行の書き方</h2>
 <p>いよいよ本題です。</p>
 <h3 id="eventfuture">eventとfuture</h3>
@@ -870,11 +849,14 @@ <h3 id="eventfuture">eventとfuture</h3>
 <code>event</code>は<code>unique_eager_event</code>クラスに, <code>future</code>は<code>unique_eager_future</code>クラスに対応しています。</p>
 <p>ヘッダーはそれぞれthrust/event.h, thrust/future.hです。
 今回は計算結果を<code>host_vector</code>に格納するので、使うのは実行が完了したか確認するだけの<code>event</code>です。</p>
-<div class="language-cpp highlight"><span class="filename">double.h</span><pre><span></span><code><span id="__span-2-1"><a id="__codelineno-2-1" name="__codelineno-2-1" href="#__codelineno-2-1"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;thrust/event.h&gt;</span>
-</span><span id="__span-2-2"><a id="__codelineno-2-2" name="__codelineno-2-2" href="#__codelineno-2-2"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;thrust/host_vector.h&gt;</span>
-</span><span id="__span-2-3"><a id="__codelineno-2-3" name="__codelineno-2-3" href="#__codelineno-2-3"></a>
-</span><span id="__span-2-4"><a id="__codelineno-2-4" name="__codelineno-2-4" href="#__codelineno-2-4"></a><span class="n">thrust</span><span class="o">::</span><span class="n">device_event</span><span class="w"> </span><span class="nf">Double</span><span class="p">(</span><span class="n">thrust</span><span class="o">::</span><span class="n">host_vector</span><span class="o">&lt;</span><span class="kt">float</span><span class="o">&gt;&amp;</span><span class="w"> </span><span class="n">doubles</span><span class="p">,</span><span class="w"> </span><span class="n">thrust</span><span class="o">::</span><span class="n">host_vector</span><span class="o">&lt;</span><span class="kt">int</span><span class="o">&gt;&amp;</span><span class="w"> </span><span class="n">ints</span><span class="p">);</span>
-</span></code></pre></div>
+<div class="language-cpp highlight"><table class="highlighttable"><tr><th colspan="2" class="filename"><span class="filename">double.h</span></th></tr><tr><td class="linenos"><div class="linenodiv"><pre><span></span><span class="normal"><a href="#__codelineno-2-1">1</a></span>
+<span class="normal"><a href="#__codelineno-2-2">2</a></span>
+<span class="normal"><a href="#__codelineno-2-3">3</a></span>
+<span class="normal"><a href="#__codelineno-2-4">4</a></span></pre></div></td><td class="code"><div><pre><span></span><code><span id="__span-2-1"><a id="__codelineno-2-1" name="__codelineno-2-1"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;thrust/event.h&gt;</span>
+</span><span id="__span-2-2"><a id="__codelineno-2-2" name="__codelineno-2-2"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;thrust/host_vector.h&gt;</span>
+</span><span id="__span-2-3"><a id="__codelineno-2-3" name="__codelineno-2-3"></a>
+</span><span id="__span-2-4"><a id="__codelineno-2-4" name="__codelineno-2-4"></a><span class="n">thrust</span><span class="o">::</span><span class="n">device_event</span><span class="w"> </span><span class="nf">Double</span><span class="p">(</span><span class="n">thrust</span><span class="o">::</span><span class="n">host_vector</span><span class="o">&lt;</span><span class="kt">float</span><span class="o">&gt;&amp;</span><span class="w"> </span><span class="n">doubles</span><span class="p">,</span><span class="w"> </span><span class="n">thrust</span><span class="o">::</span><span class="n">host_vector</span><span class="o">&lt;</span><span class="kt">int</span><span class="o">&gt;&amp;</span><span class="w"> </span><span class="n">ints</span><span class="p">);</span>
+</span></code></pre></div></td></tr></table></div>
 <p>ここで<code>device_event</code>を使っていますが、ホストでも使えます。
 <code>host_event</code>はありません。
 後の「欠点」の節でこのことに触れます。
@@ -892,90 +874,167 @@ <h3 id="_2">非同期なアルゴリズムと実行ポリシー</h3>
 <code>event</code>と<code>future</code>の個数は何個でもいいです。
 また、<code>thrust::when_all</code>関数で複数の<code>event</code>と<code>future</code>を一つの<code>event</code>にまとめることもできます。</p>
 <p>これらを踏まえて、以下のように実装してみます。</p>
-<div class="language-cuda highlight"><span class="filename">double.cu</span><pre><span></span><code><span id="__span-3-1"><a id="__codelineno-3-1" name="__codelineno-3-1" href="#__codelineno-3-1"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;thrust/async/copy.h&gt;</span>
-</span><span id="__span-3-2"><a id="__codelineno-3-2" name="__codelineno-3-2" href="#__codelineno-3-2"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;thrust/async/transform.h&gt;</span>
-</span><span id="__span-3-3"><a id="__codelineno-3-3" name="__codelineno-3-3" href="#__codelineno-3-3"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;thrust/device_vector.h&gt;</span>
-</span><span id="__span-3-4"><a id="__codelineno-3-4" name="__codelineno-3-4" href="#__codelineno-3-4"></a>
-</span><span id="__span-3-5"><a id="__codelineno-3-5" name="__codelineno-3-5" href="#__codelineno-3-5"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&quot;double.h&quot;</span>
-</span><span id="__span-3-6"><a id="__codelineno-3-6" name="__codelineno-3-6" href="#__codelineno-3-6"></a>
-</span><span id="__span-3-7"><a id="__codelineno-3-7" name="__codelineno-3-7" href="#__codelineno-3-7"></a><span class="n">template</span><span class="w"> </span><span class="o">&lt;</span><span class="n">class</span><span class="w"> </span><span class="n">T</span><span class="o">&gt;</span>
-</span><span id="__span-3-8"><a id="__codelineno-3-8" name="__codelineno-3-8" href="#__codelineno-3-8"></a><span class="n">thrust</span><span class="o">::</span><span class="n">device_event</span><span class="w"> </span><span class="n">Double</span><span class="p">(</span><span class="n">thrust</span><span class="o">::</span><span class="n">host_vector</span><span class="o">&lt;</span><span class="n">T</span><span class="o">&gt;&amp;</span><span class="w"> </span><span class="n">ts</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
-</span><span id="__span-3-9"><a id="__codelineno-3-9" name="__codelineno-3-9" href="#__codelineno-3-9"></a><span class="w">  </span><span class="c1">// デバイス側の配列を用意</span>
-</span><span id="__span-3-10"><a id="__codelineno-3-10" name="__codelineno-3-10" href="#__codelineno-3-10"></a><span class="w">  </span><span class="k">auto</span><span class="w"> </span><span class="n">device_ts</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">thrust</span><span class="o">::</span><span class="n">device_vector</span><span class="o">&lt;</span><span class="n">T</span><span class="o">&gt;</span><span class="p">();</span>
-</span><span id="__span-3-11"><a id="__codelineno-3-11" name="__codelineno-3-11" href="#__codelineno-3-11"></a>
-</span><span id="__span-3-12"><a id="__codelineno-3-12" name="__codelineno-3-12" href="#__codelineno-3-12"></a><span class="w">  </span><span class="c1">// メモリの確保と初期化</span>
-</span><span id="__span-3-13"><a id="__codelineno-3-13" name="__codelineno-3-13" href="#__codelineno-3-13"></a><span class="w">  </span><span class="n">device_ts</span><span class="p">.</span><span class="n">resize</span><span class="p">(</span><span class="n">ts</span><span class="p">.</span><span class="n">size</span><span class="p">());</span>
-</span><span id="__span-3-14"><a id="__codelineno-3-14" name="__codelineno-3-14" href="#__codelineno-3-14"></a>
-</span><span id="__span-3-15"><a id="__codelineno-3-15" name="__codelineno-3-15" href="#__codelineno-3-15"></a><span class="w">  </span><span class="c1">// ホストからデバイスへの非同期コピー</span>
-</span><span id="__span-3-16"><a id="__codelineno-3-16" name="__codelineno-3-16" href="#__codelineno-3-16"></a><span class="w">  </span><span class="k">auto</span><span class="w"> </span><span class="n">copy_ts_event</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">thrust</span><span class="o">::</span><span class="n">async</span><span class="o">::</span><span class="n">copy</span><span class="p">(</span>
-</span><span id="__span-3-17"><a id="__codelineno-3-17" name="__codelineno-3-17" href="#__codelineno-3-17"></a><span class="w">      </span><span class="n">thrust</span><span class="o">::</span><span class="n">host</span><span class="p">,</span>
-</span><span id="__span-3-18"><a id="__codelineno-3-18" name="__codelineno-3-18" href="#__codelineno-3-18"></a><span class="w">      </span><span class="n">thrust</span><span class="o">::</span><span class="n">device</span><span class="p">,</span>
-</span><span id="__span-3-19"><a id="__codelineno-3-19" name="__codelineno-3-19" href="#__codelineno-3-19"></a><span class="w">      </span><span class="n">ts</span><span class="p">.</span><span class="n">begin</span><span class="p">(),</span>
-</span><span id="__span-3-20"><a id="__codelineno-3-20" name="__codelineno-3-20" href="#__codelineno-3-20"></a><span class="w">      </span><span class="n">ts</span><span class="p">.</span><span class="n">end</span><span class="p">(),</span>
-</span><span id="__span-3-21"><a id="__codelineno-3-21" name="__codelineno-3-21" href="#__codelineno-3-21"></a><span class="w">      </span><span class="n">device_ts</span><span class="p">.</span><span class="n">begin</span><span class="p">()</span>
-</span><span id="__span-3-22"><a id="__codelineno-3-22" name="__codelineno-3-22" href="#__codelineno-3-22"></a><span class="w">  </span><span class="p">);</span>
-</span><span id="__span-3-23"><a id="__codelineno-3-23" name="__codelineno-3-23" href="#__codelineno-3-23"></a>
-</span><span id="__span-3-24"><a id="__codelineno-3-24" name="__codelineno-3-24" href="#__codelineno-3-24"></a><span class="w">  </span><span class="c1">// デバイス側での計算</span>
-</span><span id="__span-3-25"><a id="__codelineno-3-25" name="__codelineno-3-25" href="#__codelineno-3-25"></a><span class="w">  </span><span class="k">auto</span><span class="w"> </span><span class="n">double_ts_event</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">thrust</span><span class="o">::</span><span class="n">async</span><span class="o">::</span><span class="n">transform</span><span class="p">(</span>
-</span><span id="__span-3-26"><a id="__codelineno-3-26" name="__codelineno-3-26" href="#__codelineno-3-26"></a><span class="w">      </span><span class="n">thrust</span><span class="o">::</span><span class="n">device</span><span class="p">.</span><span class="n">after</span><span class="p">(</span><span class="n">copy_ts_event</span><span class="p">),</span>
-</span><span id="__span-3-27"><a id="__codelineno-3-27" name="__codelineno-3-27" href="#__codelineno-3-27"></a><span class="w">      </span><span class="n">device_ts</span><span class="p">.</span><span class="n">begin</span><span class="p">(),</span>
-</span><span id="__span-3-28"><a id="__codelineno-3-28" name="__codelineno-3-28" href="#__codelineno-3-28"></a><span class="w">      </span><span class="n">device_ts</span><span class="p">.</span><span class="n">end</span><span class="p">(),</span>
-</span><span id="__span-3-29"><a id="__codelineno-3-29" name="__codelineno-3-29" href="#__codelineno-3-29"></a><span class="w">      </span><span class="n">device_ts</span><span class="p">.</span><span class="n">begin</span><span class="p">(),</span>
-</span><span id="__span-3-30"><a id="__codelineno-3-30" name="__codelineno-3-30" href="#__codelineno-3-30"></a><span class="w">      </span><span class="p">[]</span><span class="w"> </span><span class="kt">__device__</span><span class="p">(</span><span class="n">T</span><span class="w"> </span><span class="n">d</span><span class="p">)</span><span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">d</span><span class="w"> </span><span class="o">*</span><span class="w"> </span><span class="n">d</span><span class="p">;</span><span class="w"> </span><span class="p">}</span>
-</span><span id="__span-3-31"><a id="__codelineno-3-31" name="__codelineno-3-31" href="#__codelineno-3-31"></a><span class="w">  </span><span class="p">);</span>
-</span><span id="__span-3-32"><a id="__codelineno-3-32" name="__codelineno-3-32" href="#__codelineno-3-32"></a>
-</span><span id="__span-3-33"><a id="__codelineno-3-33" name="__codelineno-3-33" href="#__codelineno-3-33"></a><span class="w">  </span><span class="c1">// デバイスからホストへの非同期コピー</span>
-</span><span id="__span-3-34"><a id="__codelineno-3-34" name="__codelineno-3-34" href="#__codelineno-3-34"></a><span class="w">  </span><span class="k">auto</span><span class="w"> </span><span class="n">copy_back_ts_event</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">thrust</span><span class="o">::</span><span class="n">async</span><span class="o">::</span><span class="n">copy</span><span class="p">(</span>
-</span><span id="__span-3-35"><a id="__codelineno-3-35" name="__codelineno-3-35" href="#__codelineno-3-35"></a><span class="w">      </span><span class="n">thrust</span><span class="o">::</span><span class="n">device</span><span class="p">.</span><span class="n">after</span><span class="p">(</span><span class="n">double_ts_event</span><span class="p">),</span>
-</span><span id="__span-3-36"><a id="__codelineno-3-36" name="__codelineno-3-36" href="#__codelineno-3-36"></a><span class="w">      </span><span class="n">device_ts</span><span class="p">.</span><span class="n">begin</span><span class="p">(),</span>
-</span><span id="__span-3-37"><a id="__codelineno-3-37" name="__codelineno-3-37" href="#__codelineno-3-37"></a><span class="w">      </span><span class="n">device_ts</span><span class="p">.</span><span class="n">end</span><span class="p">(),</span>
-</span><span id="__span-3-38"><a id="__codelineno-3-38" name="__codelineno-3-38" href="#__codelineno-3-38"></a><span class="w">      </span><span class="n">ts</span><span class="p">.</span><span class="n">begin</span><span class="p">()</span>
-</span><span id="__span-3-39"><a id="__codelineno-3-39" name="__codelineno-3-39" href="#__codelineno-3-39"></a><span class="w">  </span><span class="p">);</span>
-</span><span id="__span-3-40"><a id="__codelineno-3-40" name="__codelineno-3-40" href="#__codelineno-3-40"></a>
-</span><span id="__span-3-41"><a id="__codelineno-3-41" name="__codelineno-3-41" href="#__codelineno-3-41"></a><span class="w">  </span><span class="k">return</span><span class="w"> </span><span class="n">copy_back_ts_event</span><span class="p">;</span>
-</span><span id="__span-3-42"><a id="__codelineno-3-42" name="__codelineno-3-42" href="#__codelineno-3-42"></a><span class="p">}</span>
-</span><span id="__span-3-43"><a id="__codelineno-3-43" name="__codelineno-3-43" href="#__codelineno-3-43"></a>
-</span><span id="__span-3-44"><a id="__codelineno-3-44" name="__codelineno-3-44" href="#__codelineno-3-44"></a><span class="n">thrust</span><span class="o">::</span><span class="n">device_event</span><span class="w"> </span><span class="n">Double</span><span class="p">(</span><span class="n">thrust</span><span class="o">::</span><span class="n">host_vector</span><span class="o">&lt;</span><span class="kt">float</span><span class="o">&gt;&amp;</span><span class="w"> </span><span class="n">floats</span><span class="p">,</span><span class="w"> </span><span class="n">thrust</span><span class="o">::</span><span class="n">host_vector</span><span class="o">&lt;</span><span class="kt">int</span><span class="o">&gt;&amp;</span><span class="w"> </span><span class="n">ints</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
-</span><span id="__span-3-45"><a id="__codelineno-3-45" name="__codelineno-3-45" href="#__codelineno-3-45"></a><span class="w">  </span><span class="c1">// 非同期実行の完了をまとめる</span>
-</span><span id="__span-3-46"><a id="__codelineno-3-46" name="__codelineno-3-46" href="#__codelineno-3-46"></a><span class="w">  </span><span class="k">return</span><span class="w"> </span><span class="n">thrust</span><span class="o">::</span><span class="n">when_all</span><span class="p">(</span><span class="n">Double</span><span class="p">(</span><span class="n">floats</span><span class="p">),</span><span class="w"> </span><span class="n">Double</span><span class="p">(</span><span class="n">ints</span><span class="p">));</span>
-</span><span id="__span-3-47"><a id="__codelineno-3-47" name="__codelineno-3-47" href="#__codelineno-3-47"></a><span class="p">}</span>
-</span></code></pre></div>
+<div class="language-cuda highlight"><table class="highlighttable"><tr><th colspan="2" class="filename"><span class="filename">double.cu</span></th></tr><tr><td class="linenos"><div class="linenodiv"><pre><span></span><span class="normal"><a href="#__codelineno-3-1"> 1</a></span>
+<span class="normal"><a href="#__codelineno-3-2"> 2</a></span>
+<span class="normal"><a href="#__codelineno-3-3"> 3</a></span>
+<span class="normal"><a href="#__codelineno-3-4"> 4</a></span>
+<span class="normal"><a href="#__codelineno-3-5"> 5</a></span>
+<span class="normal"><a href="#__codelineno-3-6"> 6</a></span>
+<span class="normal"><a href="#__codelineno-3-7"> 7</a></span>
+<span class="normal"><a href="#__codelineno-3-8"> 8</a></span>
+<span class="normal"><a href="#__codelineno-3-9"> 9</a></span>
+<span class="normal"><a href="#__codelineno-3-10">10</a></span>
+<span class="normal"><a href="#__codelineno-3-11">11</a></span>
+<span class="normal"><a href="#__codelineno-3-12">12</a></span>
+<span class="normal"><a href="#__codelineno-3-13">13</a></span>
+<span class="normal"><a href="#__codelineno-3-14">14</a></span>
+<span class="normal"><a href="#__codelineno-3-15">15</a></span>
+<span class="normal"><a href="#__codelineno-3-16">16</a></span>
+<span class="normal"><a href="#__codelineno-3-17">17</a></span>
+<span class="normal"><a href="#__codelineno-3-18">18</a></span>
+<span class="normal"><a href="#__codelineno-3-19">19</a></span>
+<span class="normal"><a href="#__codelineno-3-20">20</a></span>
+<span class="normal"><a href="#__codelineno-3-21">21</a></span>
+<span class="normal"><a href="#__codelineno-3-22">22</a></span>
+<span class="normal"><a href="#__codelineno-3-23">23</a></span>
+<span class="normal"><a href="#__codelineno-3-24">24</a></span>
+<span class="normal"><a href="#__codelineno-3-25">25</a></span>
+<span class="normal"><a href="#__codelineno-3-26">26</a></span>
+<span class="normal"><a href="#__codelineno-3-27">27</a></span>
+<span class="normal"><a href="#__codelineno-3-28">28</a></span>
+<span class="normal"><a href="#__codelineno-3-29">29</a></span>
+<span class="normal"><a href="#__codelineno-3-30">30</a></span>
+<span class="normal"><a href="#__codelineno-3-31">31</a></span>
+<span class="normal"><a href="#__codelineno-3-32">32</a></span>
+<span class="normal"><a href="#__codelineno-3-33">33</a></span>
+<span class="normal"><a href="#__codelineno-3-34">34</a></span>
+<span class="normal"><a href="#__codelineno-3-35">35</a></span>
+<span class="normal"><a href="#__codelineno-3-36">36</a></span>
+<span class="normal"><a href="#__codelineno-3-37">37</a></span>
+<span class="normal"><a href="#__codelineno-3-38">38</a></span>
+<span class="normal"><a href="#__codelineno-3-39">39</a></span>
+<span class="normal"><a href="#__codelineno-3-40">40</a></span>
+<span class="normal"><a href="#__codelineno-3-41">41</a></span>
+<span class="normal"><a href="#__codelineno-3-42">42</a></span>
+<span class="normal"><a href="#__codelineno-3-43">43</a></span>
+<span class="normal"><a href="#__codelineno-3-44">44</a></span>
+<span class="normal"><a href="#__codelineno-3-45">45</a></span>
+<span class="normal"><a href="#__codelineno-3-46">46</a></span>
+<span class="normal"><a href="#__codelineno-3-47">47</a></span></pre></div></td><td class="code"><div><pre><span></span><code><span id="__span-3-1"><a id="__codelineno-3-1" name="__codelineno-3-1"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;thrust/async/copy.h&gt;</span>
+</span><span id="__span-3-2"><a id="__codelineno-3-2" name="__codelineno-3-2"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;thrust/async/transform.h&gt;</span>
+</span><span id="__span-3-3"><a id="__codelineno-3-3" name="__codelineno-3-3"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;thrust/device_vector.h&gt;</span>
+</span><span id="__span-3-4"><a id="__codelineno-3-4" name="__codelineno-3-4"></a>
+</span><span id="__span-3-5"><a id="__codelineno-3-5" name="__codelineno-3-5"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&quot;double.h&quot;</span>
+</span><span id="__span-3-6"><a id="__codelineno-3-6" name="__codelineno-3-6"></a>
+</span><span id="__span-3-7"><a id="__codelineno-3-7" name="__codelineno-3-7"></a><span class="n">template</span><span class="w"> </span><span class="o">&lt;</span><span class="n">class</span><span class="w"> </span><span class="n">T</span><span class="o">&gt;</span>
+</span><span id="__span-3-8"><a id="__codelineno-3-8" name="__codelineno-3-8"></a><span class="n">thrust</span><span class="o">::</span><span class="n">device_event</span><span class="w"> </span><span class="n">Double</span><span class="p">(</span><span class="n">thrust</span><span class="o">::</span><span class="n">host_vector</span><span class="o">&lt;</span><span class="n">T</span><span class="o">&gt;&amp;</span><span class="w"> </span><span class="n">ts</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
+</span><span id="__span-3-9"><a id="__codelineno-3-9" name="__codelineno-3-9"></a><span class="w">  </span><span class="c1">// デバイス側の配列を用意</span>
+</span><span id="__span-3-10"><a id="__codelineno-3-10" name="__codelineno-3-10"></a><span class="w">  </span><span class="k">auto</span><span class="w"> </span><span class="n">device_ts</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">thrust</span><span class="o">::</span><span class="n">device_vector</span><span class="o">&lt;</span><span class="n">T</span><span class="o">&gt;</span><span class="p">();</span>
+</span><span id="__span-3-11"><a id="__codelineno-3-11" name="__codelineno-3-11"></a>
+</span><span id="__span-3-12"><a id="__codelineno-3-12" name="__codelineno-3-12"></a><span class="w">  </span><span class="c1">// メモリの確保と初期化</span>
+</span><span id="__span-3-13"><a id="__codelineno-3-13" name="__codelineno-3-13"></a><span class="w">  </span><span class="n">device_ts</span><span class="p">.</span><span class="n">resize</span><span class="p">(</span><span class="n">ts</span><span class="p">.</span><span class="n">size</span><span class="p">());</span>
+</span><span id="__span-3-14"><a id="__codelineno-3-14" name="__codelineno-3-14"></a>
+</span><span id="__span-3-15"><a id="__codelineno-3-15" name="__codelineno-3-15"></a><span class="w">  </span><span class="c1">// ホストからデバイスへの非同期コピー</span>
+</span><span id="__span-3-16"><a id="__codelineno-3-16" name="__codelineno-3-16"></a><span class="w">  </span><span class="k">auto</span><span class="w"> </span><span class="n">copy_ts_event</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">thrust</span><span class="o">::</span><span class="n">async</span><span class="o">::</span><span class="n">copy</span><span class="p">(</span>
+</span><span id="__span-3-17"><a id="__codelineno-3-17" name="__codelineno-3-17"></a><span class="w">      </span><span class="n">thrust</span><span class="o">::</span><span class="n">host</span><span class="p">,</span>
+</span><span id="__span-3-18"><a id="__codelineno-3-18" name="__codelineno-3-18"></a><span class="w">      </span><span class="n">thrust</span><span class="o">::</span><span class="n">device</span><span class="p">,</span>
+</span><span id="__span-3-19"><a id="__codelineno-3-19" name="__codelineno-3-19"></a><span class="w">      </span><span class="n">ts</span><span class="p">.</span><span class="n">begin</span><span class="p">(),</span>
+</span><span id="__span-3-20"><a id="__codelineno-3-20" name="__codelineno-3-20"></a><span class="w">      </span><span class="n">ts</span><span class="p">.</span><span class="n">end</span><span class="p">(),</span>
+</span><span id="__span-3-21"><a id="__codelineno-3-21" name="__codelineno-3-21"></a><span class="w">      </span><span class="n">device_ts</span><span class="p">.</span><span class="n">begin</span><span class="p">()</span>
+</span><span id="__span-3-22"><a id="__codelineno-3-22" name="__codelineno-3-22"></a><span class="w">  </span><span class="p">);</span>
+</span><span id="__span-3-23"><a id="__codelineno-3-23" name="__codelineno-3-23"></a>
+</span><span id="__span-3-24"><a id="__codelineno-3-24" name="__codelineno-3-24"></a><span class="w">  </span><span class="c1">// デバイス側での計算</span>
+</span><span id="__span-3-25"><a id="__codelineno-3-25" name="__codelineno-3-25"></a><span class="w">  </span><span class="k">auto</span><span class="w"> </span><span class="n">double_ts_event</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">thrust</span><span class="o">::</span><span class="n">async</span><span class="o">::</span><span class="n">transform</span><span class="p">(</span>
+</span><span id="__span-3-26"><a id="__codelineno-3-26" name="__codelineno-3-26"></a><span class="w">      </span><span class="n">thrust</span><span class="o">::</span><span class="n">device</span><span class="p">.</span><span class="n">after</span><span class="p">(</span><span class="n">copy_ts_event</span><span class="p">),</span>
+</span><span id="__span-3-27"><a id="__codelineno-3-27" name="__codelineno-3-27"></a><span class="w">      </span><span class="n">device_ts</span><span class="p">.</span><span class="n">begin</span><span class="p">(),</span>
+</span><span id="__span-3-28"><a id="__codelineno-3-28" name="__codelineno-3-28"></a><span class="w">      </span><span class="n">device_ts</span><span class="p">.</span><span class="n">end</span><span class="p">(),</span>
+</span><span id="__span-3-29"><a id="__codelineno-3-29" name="__codelineno-3-29"></a><span class="w">      </span><span class="n">device_ts</span><span class="p">.</span><span class="n">begin</span><span class="p">(),</span>
+</span><span id="__span-3-30"><a id="__codelineno-3-30" name="__codelineno-3-30"></a><span class="w">      </span><span class="p">[]</span><span class="w"> </span><span class="kt">__device__</span><span class="p">(</span><span class="n">T</span><span class="w"> </span><span class="n">d</span><span class="p">)</span><span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">d</span><span class="w"> </span><span class="o">*</span><span class="w"> </span><span class="n">d</span><span class="p">;</span><span class="w"> </span><span class="p">}</span>
+</span><span id="__span-3-31"><a id="__codelineno-3-31" name="__codelineno-3-31"></a><span class="w">  </span><span class="p">);</span>
+</span><span id="__span-3-32"><a id="__codelineno-3-32" name="__codelineno-3-32"></a>
+</span><span id="__span-3-33"><a id="__codelineno-3-33" name="__codelineno-3-33"></a><span class="w">  </span><span class="c1">// デバイスからホストへの非同期コピー</span>
+</span><span id="__span-3-34"><a id="__codelineno-3-34" name="__codelineno-3-34"></a><span class="w">  </span><span class="k">auto</span><span class="w"> </span><span class="n">copy_back_ts_event</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">thrust</span><span class="o">::</span><span class="n">async</span><span class="o">::</span><span class="n">copy</span><span class="p">(</span>
+</span><span id="__span-3-35"><a id="__codelineno-3-35" name="__codelineno-3-35"></a><span class="w">      </span><span class="n">thrust</span><span class="o">::</span><span class="n">device</span><span class="p">.</span><span class="n">after</span><span class="p">(</span><span class="n">double_ts_event</span><span class="p">),</span>
+</span><span id="__span-3-36"><a id="__codelineno-3-36" name="__codelineno-3-36"></a><span class="w">      </span><span class="n">device_ts</span><span class="p">.</span><span class="n">begin</span><span class="p">(),</span>
+</span><span id="__span-3-37"><a id="__codelineno-3-37" name="__codelineno-3-37"></a><span class="w">      </span><span class="n">device_ts</span><span class="p">.</span><span class="n">end</span><span class="p">(),</span>
+</span><span id="__span-3-38"><a id="__codelineno-3-38" name="__codelineno-3-38"></a><span class="w">      </span><span class="n">ts</span><span class="p">.</span><span class="n">begin</span><span class="p">()</span>
+</span><span id="__span-3-39"><a id="__codelineno-3-39" name="__codelineno-3-39"></a><span class="w">  </span><span class="p">);</span>
+</span><span id="__span-3-40"><a id="__codelineno-3-40" name="__codelineno-3-40"></a>
+</span><span id="__span-3-41"><a id="__codelineno-3-41" name="__codelineno-3-41"></a><span class="w">  </span><span class="k">return</span><span class="w"> </span><span class="n">copy_back_ts_event</span><span class="p">;</span>
+</span><span id="__span-3-42"><a id="__codelineno-3-42" name="__codelineno-3-42"></a><span class="p">}</span>
+</span><span id="__span-3-43"><a id="__codelineno-3-43" name="__codelineno-3-43"></a>
+</span><span id="__span-3-44"><a id="__codelineno-3-44" name="__codelineno-3-44"></a><span class="n">thrust</span><span class="o">::</span><span class="n">device_event</span><span class="w"> </span><span class="n">Double</span><span class="p">(</span><span class="n">thrust</span><span class="o">::</span><span class="n">host_vector</span><span class="o">&lt;</span><span class="kt">float</span><span class="o">&gt;&amp;</span><span class="w"> </span><span class="n">floats</span><span class="p">,</span><span class="w"> </span><span class="n">thrust</span><span class="o">::</span><span class="n">host_vector</span><span class="o">&lt;</span><span class="kt">int</span><span class="o">&gt;&amp;</span><span class="w"> </span><span class="n">ints</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
+</span><span id="__span-3-45"><a id="__codelineno-3-45" name="__codelineno-3-45"></a><span class="w">  </span><span class="c1">// 非同期実行の完了をまとめる</span>
+</span><span id="__span-3-46"><a id="__codelineno-3-46" name="__codelineno-3-46"></a><span class="w">  </span><span class="k">return</span><span class="w"> </span><span class="n">thrust</span><span class="o">::</span><span class="n">when_all</span><span class="p">(</span><span class="n">Double</span><span class="p">(</span><span class="n">floats</span><span class="p">),</span><span class="w"> </span><span class="n">Double</span><span class="p">(</span><span class="n">ints</span><span class="p">));</span>
+</span><span id="__span-3-47"><a id="__codelineno-3-47" name="__codelineno-3-47"></a><span class="p">}</span>
+</span></code></pre></div></td></tr></table></div>
 <p><code>int</code>と<code>float</code>の配列のそれぞれに対して、デバイスへのコピーが完了したら、2乗する計算を行い、終わればホストへコピーする処理を順番に実行ポリシーに指定しています。
 最後に、両方の配列がホストへコピーされたことを確認するための<code>event</code>を作成しています。</p>
 <p>あとは、<code>main</code>関数で各配列を作って、<code>Double</code>関数に渡して、結果が正しいか確認するだけです。</p>
-<p><div class="language-cpp highlight"><span class="filename">main.cpp</span><pre><span></span><code><span id="__span-4-1"><a id="__codelineno-4-1" name="__codelineno-4-1" href="#__codelineno-4-1"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&quot;double.h&quot;</span>
-</span><span id="__span-4-2"><a id="__codelineno-4-2" name="__codelineno-4-2" href="#__codelineno-4-2"></a>
-</span><span id="__span-4-3"><a id="__codelineno-4-3" name="__codelineno-4-3" href="#__codelineno-4-3"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;cassert&gt;</span>
-</span><span id="__span-4-4"><a id="__codelineno-4-4" name="__codelineno-4-4" href="#__codelineno-4-4"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;cmath&gt;</span>
-</span><span id="__span-4-5"><a id="__codelineno-4-5" name="__codelineno-4-5" href="#__codelineno-4-5"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;iostream&gt;</span>
-</span><span id="__span-4-6"><a id="__codelineno-4-6" name="__codelineno-4-6" href="#__codelineno-4-6"></a>
-</span><span id="__span-4-7"><a id="__codelineno-4-7" name="__codelineno-4-7" href="#__codelineno-4-7"></a><span class="kt">int</span><span class="w"> </span><span class="nf">main</span><span class="p">()</span><span class="w"> </span><span class="p">{</span>
-</span><span id="__span-4-8"><a id="__codelineno-4-8" name="__codelineno-4-8" href="#__codelineno-4-8"></a><span class="w">  </span><span class="k">auto</span><span class="w"> </span><span class="n">floats</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">thrust</span><span class="o">::</span><span class="n">host_vector</span><span class="o">&lt;</span><span class="kt">float</span><span class="o">&gt;</span><span class="p">();</span>
-</span><span id="__span-4-9"><a id="__codelineno-4-9" name="__codelineno-4-9" href="#__codelineno-4-9"></a><span class="w">  </span><span class="k">auto</span><span class="w"> </span><span class="n">ints</span><span class="w">   </span><span class="o">=</span><span class="w"> </span><span class="n">thrust</span><span class="o">::</span><span class="n">host_vector</span><span class="o">&lt;</span><span class="kt">int</span><span class="o">&gt;</span><span class="p">();</span>
-</span><span id="__span-4-10"><a id="__codelineno-4-10" name="__codelineno-4-10" href="#__codelineno-4-10"></a>
-</span><span id="__span-4-11"><a id="__codelineno-4-11" name="__codelineno-4-11" href="#__codelineno-4-11"></a><span class="w">  </span><span class="n">std</span><span class="o">::</span><span class="kt">size_t</span><span class="w"> </span><span class="n">size</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">10000</span><span class="p">;</span>
-</span><span id="__span-4-12"><a id="__codelineno-4-12" name="__codelineno-4-12" href="#__codelineno-4-12"></a>
-</span><span id="__span-4-13"><a id="__codelineno-4-13" name="__codelineno-4-13" href="#__codelineno-4-13"></a><span class="w">  </span><span class="n">floats</span><span class="p">.</span><span class="n">reserve</span><span class="p">(</span><span class="n">size</span><span class="p">);</span>
-</span><span id="__span-4-14"><a id="__codelineno-4-14" name="__codelineno-4-14" href="#__codelineno-4-14"></a><span class="w">  </span><span class="n">ints</span><span class="p">.</span><span class="n">reserve</span><span class="p">(</span><span class="n">size</span><span class="p">);</span>
-</span><span id="__span-4-15"><a id="__codelineno-4-15" name="__codelineno-4-15" href="#__codelineno-4-15"></a>
-</span><span id="__span-4-16"><a id="__codelineno-4-16" name="__codelineno-4-16" href="#__codelineno-4-16"></a><span class="w">  </span><span class="k">for</span><span class="w"> </span><span class="p">(</span><span class="n">std</span><span class="o">::</span><span class="kt">size_t</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">0</span><span class="p">;</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="o">&lt;</span><span class="w"> </span><span class="n">size</span><span class="p">;</span><span class="w"> </span><span class="o">++</span><span class="n">i</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
-</span><span id="__span-4-17"><a id="__codelineno-4-17" name="__codelineno-4-17" href="#__codelineno-4-17"></a><span class="w">    </span><span class="n">floats</span><span class="p">.</span><span class="n">push_back</span><span class="p">(</span><span class="n">i</span><span class="p">);</span>
-</span><span id="__span-4-18"><a id="__codelineno-4-18" name="__codelineno-4-18" href="#__codelineno-4-18"></a><span class="w">    </span><span class="n">ints</span><span class="p">.</span><span class="n">push_back</span><span class="p">(</span><span class="n">i</span><span class="p">);</span>
-</span><span id="__span-4-19"><a id="__codelineno-4-19" name="__codelineno-4-19" href="#__codelineno-4-19"></a><span class="w">  </span><span class="p">}</span>
-</span><span id="__span-4-20"><a id="__codelineno-4-20" name="__codelineno-4-20" href="#__codelineno-4-20"></a>
-</span><span id="__span-4-21"><a id="__codelineno-4-21" name="__codelineno-4-21" href="#__codelineno-4-21"></a><span class="w">  </span><span class="k">auto</span><span class="w"> </span><span class="n">event</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">Double</span><span class="p">(</span><span class="n">floats</span><span class="p">,</span><span class="w"> </span><span class="n">ints</span><span class="p">);</span>
-</span><span id="__span-4-22"><a id="__codelineno-4-22" name="__codelineno-4-22" href="#__codelineno-4-22"></a>
-</span><span id="__span-4-23"><a id="__codelineno-4-23" name="__codelineno-4-23" href="#__codelineno-4-23"></a><span class="w">  </span><span class="n">event</span><span class="p">.</span><span class="n">wait</span><span class="p">();</span>
-</span><span id="__span-4-24"><a id="__codelineno-4-24" name="__codelineno-4-24" href="#__codelineno-4-24"></a>
-</span><span id="__span-4-25"><a id="__codelineno-4-25" name="__codelineno-4-25" href="#__codelineno-4-25"></a><span class="w">  </span><span class="k">for</span><span class="w"> </span><span class="p">(</span><span class="n">std</span><span class="o">::</span><span class="kt">size_t</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">0</span><span class="p">;</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="o">&lt;</span><span class="w"> </span><span class="n">size</span><span class="p">;</span><span class="w"> </span><span class="o">++</span><span class="n">i</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
-</span><span id="__span-4-26"><a id="__codelineno-4-26" name="__codelineno-4-26" href="#__codelineno-4-26"></a><span class="w">    </span><span class="n">assert</span><span class="p">(</span><span class="n">std</span><span class="o">::</span><span class="n">abs</span><span class="p">(</span><span class="n">floats</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="o">*</span><span class="w"> </span><span class="n">i</span><span class="p">)</span><span class="w"> </span><span class="o">&lt;</span><span class="w"> </span><span class="mf">1e-5</span><span class="p">);</span>
-</span><span id="__span-4-27"><a id="__codelineno-4-27" name="__codelineno-4-27" href="#__codelineno-4-27"></a><span class="w">    </span><span class="n">assert</span><span class="p">(</span><span class="n">ints</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="w"> </span><span class="o">==</span><span class="w"> </span><span class="k">static_cast</span><span class="o">&lt;</span><span class="kt">int</span><span class="o">&gt;</span><span class="p">(</span><span class="n">i</span><span class="w"> </span><span class="o">*</span><span class="w"> </span><span class="n">i</span><span class="p">));</span>
-</span><span id="__span-4-28"><a id="__codelineno-4-28" name="__codelineno-4-28" href="#__codelineno-4-28"></a><span class="w">  </span><span class="p">}</span>
-</span><span id="__span-4-29"><a id="__codelineno-4-29" name="__codelineno-4-29" href="#__codelineno-4-29"></a><span class="w">  </span><span class="n">std</span><span class="o">::</span><span class="n">cout</span><span class="w"> </span><span class="o">&lt;&lt;</span><span class="w"> </span><span class="s">&quot;Success!</span><span class="se">\n</span><span class="s">&quot;</span><span class="p">;</span>
-</span><span id="__span-4-30"><a id="__codelineno-4-30" name="__codelineno-4-30" href="#__codelineno-4-30"></a>
-</span><span id="__span-4-31"><a id="__codelineno-4-31" name="__codelineno-4-31" href="#__codelineno-4-31"></a><span class="w">  </span><span class="k">return</span><span class="w"> </span><span class="mi">0</span><span class="p">;</span>
-</span><span id="__span-4-32"><a id="__codelineno-4-32" name="__codelineno-4-32" href="#__codelineno-4-32"></a><span class="p">}</span>
-</span></code></pre></div>
+<p><div class="language-cpp highlight"><table class="highlighttable"><tr><th colspan="2" class="filename"><span class="filename">main.cpp</span></th></tr><tr><td class="linenos"><div class="linenodiv"><pre><span></span><span class="normal"><a href="#__codelineno-4-1"> 1</a></span>
+<span class="normal"><a href="#__codelineno-4-2"> 2</a></span>
+<span class="normal"><a href="#__codelineno-4-3"> 3</a></span>
+<span class="normal"><a href="#__codelineno-4-4"> 4</a></span>
+<span class="normal"><a href="#__codelineno-4-5"> 5</a></span>
+<span class="normal"><a href="#__codelineno-4-6"> 6</a></span>
+<span class="normal"><a href="#__codelineno-4-7"> 7</a></span>
+<span class="normal"><a href="#__codelineno-4-8"> 8</a></span>
+<span class="normal"><a href="#__codelineno-4-9"> 9</a></span>
+<span class="normal"><a href="#__codelineno-4-10">10</a></span>
+<span class="normal"><a href="#__codelineno-4-11">11</a></span>
+<span class="normal"><a href="#__codelineno-4-12">12</a></span>
+<span class="normal"><a href="#__codelineno-4-13">13</a></span>
+<span class="normal"><a href="#__codelineno-4-14">14</a></span>
+<span class="normal"><a href="#__codelineno-4-15">15</a></span>
+<span class="normal"><a href="#__codelineno-4-16">16</a></span>
+<span class="normal"><a href="#__codelineno-4-17">17</a></span>
+<span class="normal"><a href="#__codelineno-4-18">18</a></span>
+<span class="normal"><a href="#__codelineno-4-19">19</a></span>
+<span class="normal"><a href="#__codelineno-4-20">20</a></span>
+<span class="normal"><a href="#__codelineno-4-21">21</a></span>
+<span class="normal"><a href="#__codelineno-4-22">22</a></span>
+<span class="normal"><a href="#__codelineno-4-23">23</a></span>
+<span class="normal"><a href="#__codelineno-4-24">24</a></span>
+<span class="normal"><a href="#__codelineno-4-25">25</a></span>
+<span class="normal"><a href="#__codelineno-4-26">26</a></span>
+<span class="normal"><a href="#__codelineno-4-27">27</a></span>
+<span class="normal"><a href="#__codelineno-4-28">28</a></span>
+<span class="normal"><a href="#__codelineno-4-29">29</a></span>
+<span class="normal"><a href="#__codelineno-4-30">30</a></span>
+<span class="normal"><a href="#__codelineno-4-31">31</a></span>
+<span class="normal"><a href="#__codelineno-4-32">32</a></span></pre></div></td><td class="code"><div><pre><span></span><code><span id="__span-4-1"><a id="__codelineno-4-1" name="__codelineno-4-1"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&quot;double.h&quot;</span>
+</span><span id="__span-4-2"><a id="__codelineno-4-2" name="__codelineno-4-2"></a>
+</span><span id="__span-4-3"><a id="__codelineno-4-3" name="__codelineno-4-3"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;cassert&gt;</span>
+</span><span id="__span-4-4"><a id="__codelineno-4-4" name="__codelineno-4-4"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;cmath&gt;</span>
+</span><span id="__span-4-5"><a id="__codelineno-4-5" name="__codelineno-4-5"></a><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;iostream&gt;</span>
+</span><span id="__span-4-6"><a id="__codelineno-4-6" name="__codelineno-4-6"></a>
+</span><span id="__span-4-7"><a id="__codelineno-4-7" name="__codelineno-4-7"></a><span class="kt">int</span><span class="w"> </span><span class="nf">main</span><span class="p">()</span><span class="w"> </span><span class="p">{</span>
+</span><span id="__span-4-8"><a id="__codelineno-4-8" name="__codelineno-4-8"></a><span class="w">  </span><span class="k">auto</span><span class="w"> </span><span class="n">floats</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">thrust</span><span class="o">::</span><span class="n">host_vector</span><span class="o">&lt;</span><span class="kt">float</span><span class="o">&gt;</span><span class="p">();</span>
+</span><span id="__span-4-9"><a id="__codelineno-4-9" name="__codelineno-4-9"></a><span class="w">  </span><span class="k">auto</span><span class="w"> </span><span class="n">ints</span><span class="w">   </span><span class="o">=</span><span class="w"> </span><span class="n">thrust</span><span class="o">::</span><span class="n">host_vector</span><span class="o">&lt;</span><span class="kt">int</span><span class="o">&gt;</span><span class="p">();</span>
+</span><span id="__span-4-10"><a id="__codelineno-4-10" name="__codelineno-4-10"></a>
+</span><span id="__span-4-11"><a id="__codelineno-4-11" name="__codelineno-4-11"></a><span class="w">  </span><span class="n">std</span><span class="o">::</span><span class="kt">size_t</span><span class="w"> </span><span class="n">size</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">10000</span><span class="p">;</span>
+</span><span id="__span-4-12"><a id="__codelineno-4-12" name="__codelineno-4-12"></a>
+</span><span id="__span-4-13"><a id="__codelineno-4-13" name="__codelineno-4-13"></a><span class="w">  </span><span class="n">floats</span><span class="p">.</span><span class="n">reserve</span><span class="p">(</span><span class="n">size</span><span class="p">);</span>
+</span><span id="__span-4-14"><a id="__codelineno-4-14" name="__codelineno-4-14"></a><span class="w">  </span><span class="n">ints</span><span class="p">.</span><span class="n">reserve</span><span class="p">(</span><span class="n">size</span><span class="p">);</span>
+</span><span id="__span-4-15"><a id="__codelineno-4-15" name="__codelineno-4-15"></a>
+</span><span id="__span-4-16"><a id="__codelineno-4-16" name="__codelineno-4-16"></a><span class="w">  </span><span class="k">for</span><span class="w"> </span><span class="p">(</span><span class="n">std</span><span class="o">::</span><span class="kt">size_t</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">0</span><span class="p">;</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="o">&lt;</span><span class="w"> </span><span class="n">size</span><span class="p">;</span><span class="w"> </span><span class="o">++</span><span class="n">i</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
+</span><span id="__span-4-17"><a id="__codelineno-4-17" name="__codelineno-4-17"></a><span class="w">    </span><span class="n">floats</span><span class="p">.</span><span class="n">push_back</span><span class="p">(</span><span class="n">i</span><span class="p">);</span>
+</span><span id="__span-4-18"><a id="__codelineno-4-18" name="__codelineno-4-18"></a><span class="w">    </span><span class="n">ints</span><span class="p">.</span><span class="n">push_back</span><span class="p">(</span><span class="n">i</span><span class="p">);</span>
+</span><span id="__span-4-19"><a id="__codelineno-4-19" name="__codelineno-4-19"></a><span class="w">  </span><span class="p">}</span>
+</span><span id="__span-4-20"><a id="__codelineno-4-20" name="__codelineno-4-20"></a>
+</span><span id="__span-4-21"><a id="__codelineno-4-21" name="__codelineno-4-21"></a><span class="w">  </span><span class="k">auto</span><span class="w"> </span><span class="n">event</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">Double</span><span class="p">(</span><span class="n">floats</span><span class="p">,</span><span class="w"> </span><span class="n">ints</span><span class="p">);</span>
+</span><span id="__span-4-22"><a id="__codelineno-4-22" name="__codelineno-4-22"></a>
+</span><span id="__span-4-23"><a id="__codelineno-4-23" name="__codelineno-4-23"></a><span class="w">  </span><span class="n">event</span><span class="p">.</span><span class="n">wait</span><span class="p">();</span>
+</span><span id="__span-4-24"><a id="__codelineno-4-24" name="__codelineno-4-24"></a>
+</span><span id="__span-4-25"><a id="__codelineno-4-25" name="__codelineno-4-25"></a><span class="w">  </span><span class="k">for</span><span class="w"> </span><span class="p">(</span><span class="n">std</span><span class="o">::</span><span class="kt">size_t</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">0</span><span class="p">;</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="o">&lt;</span><span class="w"> </span><span class="n">size</span><span class="p">;</span><span class="w"> </span><span class="o">++</span><span class="n">i</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
+</span><span id="__span-4-26"><a id="__codelineno-4-26" name="__codelineno-4-26"></a><span class="w">    </span><span class="n">assert</span><span class="p">(</span><span class="n">std</span><span class="o">::</span><span class="n">abs</span><span class="p">(</span><span class="n">floats</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="o">*</span><span class="w"> </span><span class="n">i</span><span class="p">)</span><span class="w"> </span><span class="o">&lt;</span><span class="w"> </span><span class="mf">1e-5</span><span class="p">);</span>
+</span><span id="__span-4-27"><a id="__codelineno-4-27" name="__codelineno-4-27"></a><span class="w">    </span><span class="n">assert</span><span class="p">(</span><span class="n">ints</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="w"> </span><span class="o">==</span><span class="w"> </span><span class="k">static_cast</span><span class="o">&lt;</span><span class="kt">int</span><span class="o">&gt;</span><span class="p">(</span><span class="n">i</span><span class="w"> </span><span class="o">*</span><span class="w"> </span><span class="n">i</span><span class="p">));</span>
+</span><span id="__span-4-28"><a id="__codelineno-4-28" name="__codelineno-4-28"></a><span class="w">  </span><span class="p">}</span>
+</span><span id="__span-4-29"><a id="__codelineno-4-29" name="__codelineno-4-29"></a><span class="w">  </span><span class="n">std</span><span class="o">::</span><span class="n">cout</span><span class="w"> </span><span class="o">&lt;&lt;</span><span class="w"> </span><span class="s">&quot;Success!</span><span class="se">\n</span><span class="s">&quot;</span><span class="p">;</span>
+</span><span id="__span-4-30"><a id="__codelineno-4-30" name="__codelineno-4-30"></a>
+</span><span id="__span-4-31"><a id="__codelineno-4-31" name="__codelineno-4-31"></a><span class="w">  </span><span class="k">return</span><span class="w"> </span><span class="mi">0</span><span class="p">;</span>
+</span><span id="__span-4-32"><a id="__codelineno-4-32" name="__codelineno-4-32"></a><span class="p">}</span>
+</span></code></pre></div></td></tr></table></div>
 本当は浮動小数点数の値の比較をもう少し丁寧にするべきですが、本題と関係ないので良しとします。</p>
 <h2 id="_3">利点</h2>
 <p>一般に非同期実行というと身構える方が多いと思われますが、上の解説を見ると意外と簡単にできると思われたのではないでしょうか。
@@ -1008,11 +1067,11 @@ <h2 id="_7">ソースコード</h2>
 <p><a href="https://github.com/sukeya/ThrustAsyncProgram">GitHub</a>に置いています。</p>
 <h2 id="_8">参考文献</h2>
 <ol>
-<li>https://developer.nvidia.com/blog/separate-compilation-linking-cuda-device-code/</li>
-<li>https://github.com/NVIDIA/thrust/blob/main/thrust/system/cuda/detail/future.inl</li>
-<li>https://github.com/NVIDIA/thrust/blob/main/thrust/execution_policy.h</li>
-<li>https://github.com/ROCmSoftwarePlatform/rocThrust</li>
-<li>https://github.com/NVIDIA/thrust/releases/tag/1.9.4</li>
+<li><a href="https://developer.nvidia.com/blog/separate-compilation-linking-cuda-device-code/">Separate Compilation and Linking of CUDA C++ Device Code</a></li>
+<li><a href="https://github.com/NVIDIA/thrust/blob/main/thrust/system/cuda/detail/future.inl">thrust/system/cuda/detail/future.inl</a></li>
+<li><a href="https://github.com/NVIDIA/thrust/blob/main/thrust/execution_policy.h">thrust/execution_policy.h</a></li>
+<li><a href="https://github.com/ROCmSoftwarePlatform/rocThrust">rocThrust</a></li>
+<li><a href="https://github.com/NVIDIA/thrust/releases/tag/1.9.4">Thrust 1.9.4</a></li>
 </ol>
 
 
@@ -1021,6 +1080,61 @@ <h2 id="_8">参考文献</h2>
 
 
 
+  
+    
+  
+  
+    
+  
+
+
+  <aside class="md-source-file">
+    
+      
+  <span class="md-source-file__fact">
+    <span class="md-icon" title="Last update">
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index e9c5ad2..06b56c7 100644
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@@ -13,7 +13,7 @@
       
       
       
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+    sukeya/sukeya.github.io
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@@ -415,136 +380,76 @@
   
 
     
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+    
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+    <li class="md-nav__item md-nav__item--nested">
       
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-  <a href="#_1" class="md-nav__link">
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+        <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4" >
         
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-  <a href="#21-thrust" class="md-nav__link">
-    <span class="md-ellipsis">
-      2.1 Thrustの名前空間
-    </span>
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+          
+          <label class="md-nav__link" for="__nav_4" id="__nav_4_label" tabindex="0">
+            
   
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-  <a href="#22" class="md-nav__link">
-    <span class="md-ellipsis">
-      2.2 イテレータと静的ディスパッチ
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+  <span class="md-ellipsis">
+    CUDAプログラミングガイド
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+  <span class="md-ellipsis">
+    プログラミングモデル
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+<nav class="md-nav md-nav--secondary" aria-label="Table of contents">
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+    <label class="md-nav__title" for="__toc">
+      <span class="md-nav__icon md-icon"></span>
+      Table of contents
+    </label>
+    <ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
+      
+        <li class="md-nav__item">
+  <a href="#_2" class="md-nav__link">
+    <span class="md-ellipsis">
+      カーネル
+    </span>
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+      
+        <li class="md-nav__item">
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+    <a href="https://github.com/sukeya/sukeya.github.io/edit/main/docs/cuda_programming_guide/programming_model.md" title="Edit this page" class="md-content__button md-icon">
+      
+      <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M10 20H6V4h7v5h5v3.1l2-2V8l-6-6H6c-1.1 0-2 .9-2 2v16c0 1.1.9 2 2 2h4zm10.2-7c.1 0 .3.1.4.2l1.3 1.3c.2.2.2.6 0 .8l-1 1-2.1-2.1 1-1c.1-.1.2-.2.4-.2m0 3.9L14.1 23H12v-2.1l6.1-6.1z"/></svg>
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+      
+      <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M17 18c.56 0 1 .44 1 1s-.44 1-1 1-1-.44-1-1 .44-1 1-1m0-3c-2.73 0-5.06 1.66-6 4 .94 2.34 3.27 4 6 4s5.06-1.66 6-4c-.94-2.34-3.27-4-6-4m0 6.5a2.5 2.5 0 0 1-2.5-2.5 2.5 2.5 0 0 1 2.5-2.5 2.5 2.5 0 0 1 2.5 2.5 2.5 2.5 0 0 1-2.5 2.5M9.27 20H6V4h7v5h5v4.07c.7.08 1.36.25 2 .49V8l-6-6H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h4.5a8.2 8.2 0 0 1-1.23-2"/></svg>
+    </a>
+  
+
+
+<h1 id="_1">プログラミングモデル</h1>
+<p>この章では、CUDAプログラミングモデルの背後にある主な概念を紹介する。
+詳細は、<a href="programming_interface">プログラミングインターフェイス</a>にて。
+この章で使われる、ベクトルの加算の例のソースコードは<a href="https://github.com/NVIDIA/cuda-samples/tree/master/Samples/0_Introduction/vectorAdd">ここ</a>にある。</p>
+<h2 id="_2">カーネル</h2>
+<p>CUDA C++は、プログラマーがカーネルと呼ばれるC++の関数を定義できるようにC++を拡張している。カーネルは呼び出された時、普通のC++の関数が1度しか実行されないのに対して、N個のCUDAスレッドによって並列にN回実行される。</p>
+<p>カーネルは<code>__global__</code>宣言指定子を使って定義され、カーネル呼び出しに対してそのカーネルを実行するCUDAスレッドの数は新しい実行設定構文<code>&lt;&lt;&lt;...&gt;&gt;&gt;</code>を使って指定される (詳しくは<a href="https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#c-language-extensions">C++の拡張</a>にて)。カーネルを実行する各スレッドは組み込み変数を通してカーネル内で使える一意なスレッドIDを与えられる。</p>
+<p>例として、組み込み変数<code>threadIdx</code>を使う以下のサンプルコードはサイズがNの2つのベクトルAとBを足し、結果をベクトルCに入れる。</p>
+<div class="language-cpp highlight"><pre><span></span><code><span id="__span-0-1"><a id="__codelineno-0-1" name="__codelineno-0-1" href="#__codelineno-0-1"></a><span class="c1">// Kernel definition</span>
+</span><span id="__span-0-2"><a id="__codelineno-0-2" name="__codelineno-0-2" href="#__codelineno-0-2"></a><span class="n">__global__</span><span class="w"> </span><span class="kt">void</span><span class="w"> </span><span class="n">VecAdd</span><span class="p">(</span><span class="kt">float</span><span class="o">*</span><span class="w"> </span><span class="n">A</span><span class="p">,</span><span class="w"> </span><span class="kt">float</span><span class="o">*</span><span class="w"> </span><span class="n">B</span><span class="p">,</span><span class="w"> </span><span class="kt">float</span><span class="o">*</span><span class="w"> </span><span class="n">C</span><span class="p">)</span>
+</span><span id="__span-0-3"><a id="__codelineno-0-3" name="__codelineno-0-3" href="#__codelineno-0-3"></a><span class="p">{</span>
+</span><span id="__span-0-4"><a id="__codelineno-0-4" name="__codelineno-0-4" href="#__codelineno-0-4"></a><span class="w">    </span><span class="kt">int</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">threadIdx</span><span class="p">.</span><span class="n">x</span><span class="p">;</span>
+</span><span id="__span-0-5"><a id="__codelineno-0-5" name="__codelineno-0-5" href="#__codelineno-0-5"></a><span class="w">    </span><span class="n">C</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">A</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">B</span><span class="p">[</span><span class="n">i</span><span class="p">];</span>
+</span><span id="__span-0-6"><a id="__codelineno-0-6" name="__codelineno-0-6" href="#__codelineno-0-6"></a><span class="p">}</span>
+</span><span id="__span-0-7"><a id="__codelineno-0-7" name="__codelineno-0-7" href="#__codelineno-0-7"></a>
+</span><span id="__span-0-8"><a id="__codelineno-0-8" name="__codelineno-0-8" href="#__codelineno-0-8"></a><span class="kt">int</span><span class="w"> </span><span class="n">main</span><span class="p">()</span>
+</span><span id="__span-0-9"><a id="__codelineno-0-9" name="__codelineno-0-9" href="#__codelineno-0-9"></a><span class="p">{</span>
+</span><span id="__span-0-10"><a id="__codelineno-0-10" name="__codelineno-0-10" href="#__codelineno-0-10"></a><span class="w">    </span><span class="p">...</span>
+</span><span id="__span-0-11"><a id="__codelineno-0-11" name="__codelineno-0-11" href="#__codelineno-0-11"></a><span class="w">    </span><span class="c1">// Kernel invocation with N threads</span>
+</span><span id="__span-0-12"><a id="__codelineno-0-12" name="__codelineno-0-12" href="#__codelineno-0-12"></a><span class="w">    </span><span class="n">VecAdd</span><span class="o">&lt;&lt;&lt;</span><span class="mi">1</span><span class="p">,</span><span class="w"> </span><span class="n">N</span><span class="o">&gt;&gt;&gt;</span><span class="p">(</span><span class="n">A</span><span class="p">,</span><span class="w"> </span><span class="n">B</span><span class="p">,</span><span class="w"> </span><span class="n">C</span><span class="p">);</span>
+</span><span id="__span-0-13"><a id="__codelineno-0-13" name="__codelineno-0-13" href="#__codelineno-0-13"></a><span class="w">    </span><span class="p">...</span>
+</span><span id="__span-0-14"><a id="__codelineno-0-14" name="__codelineno-0-14" href="#__codelineno-0-14"></a><span class="p">}</span>
+</span></code></pre></div>
+<p>ここで、<code>VecAdd()</code>を実行するN個のスレッドは要素毎の足し算を行う。</p>
+<h2 id="_3">スレッド階層</h2>
+<p>便利なため、<code>threadIdx</code>は3次元のベクトルとしている。結果として、スレッドは1次元、2次元、3次元のスレッドインデックスを使って識別され、スレッドブロックと呼ばれるスレッドの1次元、2次元、3次元のブロックを形成する。</p>
+<p>スレッドのインデックスとそのスレッドIDは以下の表のように関係している。
+| ブロックサイズ | スレッドインデックス | スレッドID |
+| ---- | ---- | ---- |
+| (Dx) | (x) | x |
+| (Dx, Dy) | (x, y) | x + y * Dx |
+| (Dx, Dy, Dz) | (x, y, z) | x + y * Dx + z * Dx * Dy |</p>
+<p>例として、以下のコードはサイズがN * Nの2つの行列を足し、結果を行列Cに入れる。</p>
+<div class="language-cpp highlight"><pre><span></span><code><span id="__span-1-1"><a id="__codelineno-1-1" name="__codelineno-1-1" href="#__codelineno-1-1"></a><span class="c1">// Kernel definition</span>
+</span><span id="__span-1-2"><a id="__codelineno-1-2" name="__codelineno-1-2" href="#__codelineno-1-2"></a><span class="n">__global__</span><span class="w"> </span><span class="kt">void</span><span class="w"> </span><span class="n">MatAdd</span><span class="p">(</span><span class="kt">float</span><span class="w"> </span><span class="n">A</span><span class="p">[</span><span class="n">N</span><span class="p">][</span><span class="n">N</span><span class="p">],</span><span class="w"> </span><span class="kt">float</span><span class="w"> </span><span class="n">B</span><span class="p">[</span><span class="n">N</span><span class="p">][</span><span class="n">N</span><span class="p">],</span>
+</span><span id="__span-1-3"><a id="__codelineno-1-3" name="__codelineno-1-3" href="#__codelineno-1-3"></a><span class="w">                       </span><span class="kt">float</span><span class="w"> </span><span class="n">C</span><span class="p">[</span><span class="n">N</span><span class="p">][</span><span class="n">N</span><span class="p">])</span>
+</span><span id="__span-1-4"><a id="__codelineno-1-4" name="__codelineno-1-4" href="#__codelineno-1-4"></a><span class="p">{</span>
+</span><span id="__span-1-5"><a id="__codelineno-1-5" name="__codelineno-1-5" href="#__codelineno-1-5"></a><span class="w">    </span><span class="kt">int</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">threadIdx</span><span class="p">.</span><span class="n">x</span><span class="p">;</span>
+</span><span id="__span-1-6"><a id="__codelineno-1-6" name="__codelineno-1-6" href="#__codelineno-1-6"></a><span class="w">    </span><span class="kt">int</span><span class="w"> </span><span class="n">j</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">threadIdx</span><span class="p">.</span><span class="n">y</span><span class="p">;</span>
+</span><span id="__span-1-7"><a id="__codelineno-1-7" name="__codelineno-1-7" href="#__codelineno-1-7"></a><span class="w">    </span><span class="n">C</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="n">j</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">A</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="n">j</span><span class="p">]</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">B</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="n">j</span><span class="p">];</span>
+</span><span id="__span-1-8"><a id="__codelineno-1-8" name="__codelineno-1-8" href="#__codelineno-1-8"></a><span class="p">}</span>
+</span><span id="__span-1-9"><a id="__codelineno-1-9" name="__codelineno-1-9" href="#__codelineno-1-9"></a>
+</span><span id="__span-1-10"><a id="__codelineno-1-10" name="__codelineno-1-10" href="#__codelineno-1-10"></a><span class="kt">int</span><span class="w"> </span><span class="n">main</span><span class="p">()</span>
+</span><span id="__span-1-11"><a id="__codelineno-1-11" name="__codelineno-1-11" href="#__codelineno-1-11"></a><span class="p">{</span>
+</span><span id="__span-1-12"><a id="__codelineno-1-12" name="__codelineno-1-12" href="#__codelineno-1-12"></a><span class="w">    </span><span class="p">...</span>
+</span><span id="__span-1-13"><a id="__codelineno-1-13" name="__codelineno-1-13" href="#__codelineno-1-13"></a><span class="w">    </span><span class="c1">// Kernel invocation with one block of N * N * 1 threads</span>
+</span><span id="__span-1-14"><a id="__codelineno-1-14" name="__codelineno-1-14" href="#__codelineno-1-14"></a><span class="w">    </span><span class="kt">int</span><span class="w"> </span><span class="n">numBlocks</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span><span class="p">;</span>
+</span><span id="__span-1-15"><a id="__codelineno-1-15" name="__codelineno-1-15" href="#__codelineno-1-15"></a><span class="w">    </span><span class="n">dim3</span><span class="w"> </span><span class="nf">threadsPerBlock</span><span class="p">(</span><span class="n">N</span><span class="p">,</span><span class="w"> </span><span class="n">N</span><span class="p">);</span>
+</span><span id="__span-1-16"><a id="__codelineno-1-16" name="__codelineno-1-16" href="#__codelineno-1-16"></a><span class="w">    </span><span class="n">MatAdd</span><span class="o">&lt;&lt;&lt;</span><span class="n">numBlocks</span><span class="p">,</span><span class="w"> </span><span class="n">threadsPerBlock</span><span class="o">&gt;&gt;&gt;</span><span class="p">(</span><span class="n">A</span><span class="p">,</span><span class="w"> </span><span class="n">B</span><span class="p">,</span><span class="w"> </span><span class="n">C</span><span class="p">);</span>
+</span><span id="__span-1-17"><a id="__codelineno-1-17" name="__codelineno-1-17" href="#__codelineno-1-17"></a><span class="w">    </span><span class="p">...</span>
+</span><span id="__span-1-18"><a id="__codelineno-1-18" name="__codelineno-1-18" href="#__codelineno-1-18"></a><span class="p">}</span>
+</span></code></pre></div>
+<p>ブロックのすべてのスレッドは同じストリーミングマルチプロセッサー上にあると期待されていて、そのコアの限られたメモリを共有しなければならないため、ブロックあたりのスレッド数には制限がある。現在のGPUでは、スレッドブロックの最大スレッド数は1024である。</p>
+<p>カーネルは複数の同じ形のスレッドブロックによって実行されるため、スレッドの総数は(ブロックあたりのスレッド数) x (ブロック数)と等しい。</p>
+<p>ブロックは以下の図のように、スレッドのブロックの1次元、2次元、3次元のグリッドに統合されている。</p>
+<p><img alt="" src="https://docs.nvidia.com/cuda/cuda-c-programming-guide/_images/grid-of-thread-blocks.png" />
+<em>スレッドブロックのグリッド</em></p>
+<p><code>&lt;&lt;&lt;...&gt;&gt;&gt;</code>で指定されたブロックあたりのスレッド数とグリッドあたりのブロック数の型は<code>int</code>または<code>dim3</code>である。2次元のブロックまたはグリッドは上の例で指定されている。</p>
+<p>グリッド内の各ブロックは組み込み変数<code>blockIdx</code>を通してカーネル内でアクセスできる、1次元、2次元、3次元の一意なインデックスによって識別される。スレッドブロックの次元は組み込み変数<code>blockDim</code>を通してカーネル内でアクセスできる。</p>
+<p>前の<code>MatAdd()</code>の例を複数のブロックを扱うよう拡張すると、コードは以下のようになる。</p>
+<div class="language-cpp highlight"><pre><span></span><code><span id="__span-2-1"><a id="__codelineno-2-1" name="__codelineno-2-1" href="#__codelineno-2-1"></a><span class="c1">// Kernel definition</span>
+</span><span id="__span-2-2"><a id="__codelineno-2-2" name="__codelineno-2-2" href="#__codelineno-2-2"></a><span class="n">__global__</span><span class="w"> </span><span class="kt">void</span><span class="w"> </span><span class="n">MatAdd</span><span class="p">(</span><span class="kt">float</span><span class="w"> </span><span class="n">A</span><span class="p">[</span><span class="n">N</span><span class="p">][</span><span class="n">N</span><span class="p">],</span><span class="w"> </span><span class="kt">float</span><span class="w"> </span><span class="n">B</span><span class="p">[</span><span class="n">N</span><span class="p">][</span><span class="n">N</span><span class="p">],</span>
+</span><span id="__span-2-3"><a id="__codelineno-2-3" name="__codelineno-2-3" href="#__codelineno-2-3"></a><span class="kt">float</span><span class="w"> </span><span class="n">C</span><span class="p">[</span><span class="n">N</span><span class="p">][</span><span class="n">N</span><span class="p">])</span>
+</span><span id="__span-2-4"><a id="__codelineno-2-4" name="__codelineno-2-4" href="#__codelineno-2-4"></a><span class="p">{</span>
+</span><span id="__span-2-5"><a id="__codelineno-2-5" name="__codelineno-2-5" href="#__codelineno-2-5"></a><span class="w">    </span><span class="kt">int</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">blockIdx</span><span class="p">.</span><span class="n">x</span><span class="w"> </span><span class="o">*</span><span class="w"> </span><span class="n">blockDim</span><span class="p">.</span><span class="n">x</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">threadIdx</span><span class="p">.</span><span class="n">x</span><span class="p">;</span>
+</span><span id="__span-2-6"><a id="__codelineno-2-6" name="__codelineno-2-6" href="#__codelineno-2-6"></a><span class="w">    </span><span class="kt">int</span><span class="w"> </span><span class="n">j</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">blockIdx</span><span class="p">.</span><span class="n">y</span><span class="w"> </span><span class="o">*</span><span class="w"> </span><span class="n">blockDim</span><span class="p">.</span><span class="n">y</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">threadIdx</span><span class="p">.</span><span class="n">y</span><span class="p">;</span>
+</span><span id="__span-2-7"><a id="__codelineno-2-7" name="__codelineno-2-7" href="#__codelineno-2-7"></a><span class="w">    </span><span class="k">if</span><span class="w"> </span><span class="p">(</span><span class="n">i</span><span class="w"> </span><span class="o">&lt;</span><span class="w"> </span><span class="n">N</span><span class="w"> </span><span class="o">&amp;&amp;</span><span class="w"> </span><span class="n">j</span><span class="w"> </span><span class="o">&lt;</span><span class="w"> </span><span class="n">N</span><span class="p">)</span>
+</span><span id="__span-2-8"><a id="__codelineno-2-8" name="__codelineno-2-8" href="#__codelineno-2-8"></a><span class="w">        </span><span class="n">C</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="n">j</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">A</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="n">j</span><span class="p">]</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">B</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="n">j</span><span class="p">];</span>
+</span><span id="__span-2-9"><a id="__codelineno-2-9" name="__codelineno-2-9" href="#__codelineno-2-9"></a><span class="p">}</span>
+</span><span id="__span-2-10"><a id="__codelineno-2-10" name="__codelineno-2-10" href="#__codelineno-2-10"></a>
+</span><span id="__span-2-11"><a id="__codelineno-2-11" name="__codelineno-2-11" href="#__codelineno-2-11"></a><span class="kt">int</span><span class="w"> </span><span class="n">main</span><span class="p">()</span>
+</span><span id="__span-2-12"><a id="__codelineno-2-12" name="__codelineno-2-12" href="#__codelineno-2-12"></a><span class="p">{</span>
+</span><span id="__span-2-13"><a id="__codelineno-2-13" name="__codelineno-2-13" href="#__codelineno-2-13"></a><span class="w">    </span><span class="p">...</span>
+</span><span id="__span-2-14"><a id="__codelineno-2-14" name="__codelineno-2-14" href="#__codelineno-2-14"></a><span class="w">    </span><span class="c1">// Kernel invocation</span>
+</span><span id="__span-2-15"><a id="__codelineno-2-15" name="__codelineno-2-15" href="#__codelineno-2-15"></a><span class="w">    </span><span class="n">dim3</span><span class="w"> </span><span class="n">threadsPerBlock</span><span class="p">(</span><span class="mi">16</span><span class="p">,</span><span class="w"> </span><span class="mi">16</span><span class="p">);</span>
+</span><span id="__span-2-16"><a id="__codelineno-2-16" name="__codelineno-2-16" href="#__codelineno-2-16"></a><span class="w">    </span><span class="n">dim3</span><span class="w"> </span><span class="nf">numBlocks</span><span class="p">(</span><span class="n">N</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="n">threadsPerBlock</span><span class="p">.</span><span class="n">x</span><span class="p">,</span><span class="w"> </span><span class="n">N</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="n">threadsPerBlock</span><span class="p">.</span><span class="n">y</span><span class="p">);</span>
+</span><span id="__span-2-17"><a id="__codelineno-2-17" name="__codelineno-2-17" href="#__codelineno-2-17"></a><span class="w">    </span><span class="n">MatAdd</span><span class="o">&lt;&lt;&lt;</span><span class="n">numBlocks</span><span class="p">,</span><span class="w"> </span><span class="n">threadsPerBlock</span><span class="o">&gt;&gt;&gt;</span><span class="p">(</span><span class="n">A</span><span class="p">,</span><span class="w"> </span><span class="n">B</span><span class="p">,</span><span class="w"> </span><span class="n">C</span><span class="p">);</span>
+</span><span id="__span-2-18"><a id="__codelineno-2-18" name="__codelineno-2-18" href="#__codelineno-2-18"></a><span class="w">    </span><span class="p">...</span>
+</span><span id="__span-2-19"><a id="__codelineno-2-19" name="__codelineno-2-19" href="#__codelineno-2-19"></a><span class="p">}</span>
+</span></code></pre></div>
+<p>(この場合は任意だが) 16 * 16 個のスレッドブロックはよくある選択である。このグリッドは以前のように行列の要素あたり1つのスレッドを持つのに十分なブロックと一緒に作られている。単純にするために、この例では各次元のグリッドあたりのスレッド数はその次元のブロックあたりのスレッド数で割れると仮定しているが、その必要はない。</p>
+<p>後述のスレッドブロッククラスターを使わない場合、スレッドブロックは順不同で、並列または逐次的に実行できなければならない。</p>
+<p>ブロック内のスレッドは<code>__syncthreads()</code>という関数を使うと同期できる。つまり、ブロック内の各スレッドはブロック内の全てのスレッドが<code>__syncthreads()</code>を実行するまで待たなければならない。</p>
+<p><a href="https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#shared-memory">共有メモリ</a>には共有メモリを使った例があり、<a href="https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#cooperative-groups">Cooperative Groups API</a>には同期するスレッドを管理するAPIが書かれている。</p>
+<h3 id="_4">スレッドブロッククラスター</h3>
+<p>Compute Capability 9.0からスレッドブロッククラスターという、スレッドブロックから構成された、省略可能なスレッド階層が導入された。スレッドブロックと同様に、クラスターも1次元または2次元、3次元で構成されている。クラスター内のスレッドブロック数はユーザーが決められ、ポータブルなクラスターサイズとして最大8スレッドブロックがサポートされている。<code>cudaOccupancyMaxPotentialClusterSize</code>関数で確認することも出来る。</p>
+<p><img alt="" src="https://docs.nvidia.com/cuda/cuda-c-programming-guide/_images/grid-of-clusters.png" />
+<em>スレッドブロッククラスターのグリッド</em></p>
+<p>:::message
+互換性から、<code>gridDim</code>変数はスレッドブロック数の意味でのサイズを表している。クラスター内のブロックのランクはクラスターグループAPIを使うと得られる。
+:::</p>
+<p>スレッドブロッククラスターは<code>__cluster_dims__(X,Y,Z)</code>というカーネル属性を使ってコンパイル時に有効にしたり、<code>cudaLaunchKernelEx</code>というCUDAカーネルを実行する関数を使って実行時に有効にしたり出来る。</p>
+<p>以下はコンパイル時カーネル属性を使った、クラスターの使い方の例である。
+コンパイル時にクラスターサイズを指定すると、カーネル起動時にクラスターサイズを変更できない。</p>
+<div class="language-cpp highlight"><pre><span></span><code><span id="__span-3-1"><a id="__codelineno-3-1" name="__codelineno-3-1" href="#__codelineno-3-1"></a><span class="c1">// Kernel definition</span>
+</span><span id="__span-3-2"><a id="__codelineno-3-2" name="__codelineno-3-2" href="#__codelineno-3-2"></a><span class="c1">// Compile time cluster size 2 in X-dimension and 1 in Y and Z dimension</span>
+</span><span id="__span-3-3"><a id="__codelineno-3-3" name="__codelineno-3-3" href="#__codelineno-3-3"></a><span class="n">__global__</span><span class="w"> </span><span class="kt">void</span><span class="w"> </span><span class="n">__cluster_dims__</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="w"> </span><span class="mi">1</span><span class="p">,</span><span class="w"> </span><span class="mi">1</span><span class="p">)</span><span class="w"> </span><span class="n">cluster_kernel</span><span class="p">(</span><span class="kt">float</span><span class="w"> </span><span class="o">*</span><span class="n">input</span><span class="p">,</span><span class="w"> </span><span class="kt">float</span><span class="o">*</span><span class="w"> </span><span class="n">output</span><span class="p">)</span>
+</span><span id="__span-3-4"><a id="__codelineno-3-4" name="__codelineno-3-4" href="#__codelineno-3-4"></a><span class="p">{</span>
+</span><span id="__span-3-5"><a id="__codelineno-3-5" name="__codelineno-3-5" href="#__codelineno-3-5"></a>
+</span><span id="__span-3-6"><a id="__codelineno-3-6" name="__codelineno-3-6" href="#__codelineno-3-6"></a><span class="p">}</span>
+</span><span id="__span-3-7"><a id="__codelineno-3-7" name="__codelineno-3-7" href="#__codelineno-3-7"></a>
+</span><span id="__span-3-8"><a id="__codelineno-3-8" name="__codelineno-3-8" href="#__codelineno-3-8"></a><span class="kt">int</span><span class="w"> </span><span class="n">main</span><span class="p">()</span>
+</span><span id="__span-3-9"><a id="__codelineno-3-9" name="__codelineno-3-9" href="#__codelineno-3-9"></a><span class="p">{</span>
+</span><span id="__span-3-10"><a id="__codelineno-3-10" name="__codelineno-3-10" href="#__codelineno-3-10"></a><span class="w">    </span><span class="kt">float</span><span class="w"> </span><span class="o">*</span><span class="n">input</span><span class="p">,</span><span class="w"> </span><span class="o">*</span><span class="n">output</span><span class="p">;</span>
+</span><span id="__span-3-11"><a id="__codelineno-3-11" name="__codelineno-3-11" href="#__codelineno-3-11"></a><span class="w">    </span><span class="c1">// Kernel invocation with compile time cluster size</span>
+</span><span id="__span-3-12"><a id="__codelineno-3-12" name="__codelineno-3-12" href="#__codelineno-3-12"></a><span class="w">    </span><span class="n">dim3</span><span class="w"> </span><span class="nf">threadsPerBlock</span><span class="p">(</span><span class="mi">16</span><span class="p">,</span><span class="w"> </span><span class="mi">16</span><span class="p">);</span>
+</span><span id="__span-3-13"><a id="__codelineno-3-13" name="__codelineno-3-13" href="#__codelineno-3-13"></a><span class="w">    </span><span class="n">dim3</span><span class="w"> </span><span class="nf">numBlocks</span><span class="p">(</span><span class="n">N</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="n">threadsPerBlock</span><span class="p">.</span><span class="n">x</span><span class="p">,</span><span class="w"> </span><span class="n">N</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="n">threadsPerBlock</span><span class="p">.</span><span class="n">y</span><span class="p">);</span>
+</span><span id="__span-3-14"><a id="__codelineno-3-14" name="__codelineno-3-14" href="#__codelineno-3-14"></a>
+</span><span id="__span-3-15"><a id="__codelineno-3-15" name="__codelineno-3-15" href="#__codelineno-3-15"></a><span class="w">    </span><span class="c1">// The grid dimension is not affected by cluster launch, and is still enumerated</span>
+</span><span id="__span-3-16"><a id="__codelineno-3-16" name="__codelineno-3-16" href="#__codelineno-3-16"></a><span class="w">    </span><span class="c1">// using number of blocks.</span>
+</span><span id="__span-3-17"><a id="__codelineno-3-17" name="__codelineno-3-17" href="#__codelineno-3-17"></a><span class="w">    </span><span class="c1">// The grid dimension must be a multiple of cluster size.</span>
+</span><span id="__span-3-18"><a id="__codelineno-3-18" name="__codelineno-3-18" href="#__codelineno-3-18"></a><span class="w">    </span><span class="n">cluster_kernel</span><span class="o">&lt;&lt;&lt;</span><span class="n">numBlocks</span><span class="p">,</span><span class="w"> </span><span class="n">threadsPerBlock</span><span class="o">&gt;&gt;&gt;</span><span class="p">(</span><span class="n">input</span><span class="p">,</span><span class="w"> </span><span class="n">output</span><span class="p">);</span>
+</span><span id="__span-3-19"><a id="__codelineno-3-19" name="__codelineno-3-19" href="#__codelineno-3-19"></a><span class="p">}</span>
+</span></code></pre></div>
+<p>また、以下は実行時にクラスターサイズを指定する例である。</p>
+<div class="language-cpp highlight"><pre><span></span><code><span id="__span-4-1"><a id="__codelineno-4-1" name="__codelineno-4-1" href="#__codelineno-4-1"></a><span class="c1">// Kernel definition</span>
+</span><span id="__span-4-2"><a id="__codelineno-4-2" name="__codelineno-4-2" href="#__codelineno-4-2"></a><span class="c1">// No compile time attribute attached to the kernel</span>
+</span><span id="__span-4-3"><a id="__codelineno-4-3" name="__codelineno-4-3" href="#__codelineno-4-3"></a><span class="n">__global__</span><span class="w"> </span><span class="kt">void</span><span class="w"> </span><span class="n">cluster_kernel</span><span class="p">(</span><span class="kt">float</span><span class="w"> </span><span class="o">*</span><span class="n">input</span><span class="p">,</span><span class="w"> </span><span class="kt">float</span><span class="o">*</span><span class="w"> </span><span class="n">output</span><span class="p">)</span>
+</span><span id="__span-4-4"><a id="__codelineno-4-4" name="__codelineno-4-4" href="#__codelineno-4-4"></a><span class="p">{</span>
+</span><span id="__span-4-5"><a id="__codelineno-4-5" name="__codelineno-4-5" href="#__codelineno-4-5"></a>
+</span><span id="__span-4-6"><a id="__codelineno-4-6" name="__codelineno-4-6" href="#__codelineno-4-6"></a><span class="p">}</span>
+</span><span id="__span-4-7"><a id="__codelineno-4-7" name="__codelineno-4-7" href="#__codelineno-4-7"></a>
+</span><span id="__span-4-8"><a id="__codelineno-4-8" name="__codelineno-4-8" href="#__codelineno-4-8"></a><span class="kt">int</span><span class="w"> </span><span class="n">main</span><span class="p">()</span>
+</span><span id="__span-4-9"><a id="__codelineno-4-9" name="__codelineno-4-9" href="#__codelineno-4-9"></a><span class="p">{</span>
+</span><span id="__span-4-10"><a id="__codelineno-4-10" name="__codelineno-4-10" href="#__codelineno-4-10"></a><span class="w">    </span><span class="kt">float</span><span class="w"> </span><span class="o">*</span><span class="n">input</span><span class="p">,</span><span class="w"> </span><span class="o">*</span><span class="n">output</span><span class="p">;</span>
+</span><span id="__span-4-11"><a id="__codelineno-4-11" name="__codelineno-4-11" href="#__codelineno-4-11"></a><span class="w">    </span><span class="n">dim3</span><span class="w"> </span><span class="nf">threadsPerBlock</span><span class="p">(</span><span class="mi">16</span><span class="p">,</span><span class="w"> </span><span class="mi">16</span><span class="p">);</span>
+</span><span id="__span-4-12"><a id="__codelineno-4-12" name="__codelineno-4-12" href="#__codelineno-4-12"></a><span class="w">    </span><span class="n">dim3</span><span class="w"> </span><span class="nf">numBlocks</span><span class="p">(</span><span class="n">N</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="n">threadsPerBlock</span><span class="p">.</span><span class="n">x</span><span class="p">,</span><span class="w"> </span><span class="n">N</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="n">threadsPerBlock</span><span class="p">.</span><span class="n">y</span><span class="p">);</span>
+</span><span id="__span-4-13"><a id="__codelineno-4-13" name="__codelineno-4-13" href="#__codelineno-4-13"></a>
+</span><span id="__span-4-14"><a id="__codelineno-4-14" name="__codelineno-4-14" href="#__codelineno-4-14"></a><span class="w">    </span><span class="c1">// Kernel invocation with runtime cluster size</span>
+</span><span id="__span-4-15"><a id="__codelineno-4-15" name="__codelineno-4-15" href="#__codelineno-4-15"></a><span class="w">    </span><span class="p">{</span>
+</span><span id="__span-4-16"><a id="__codelineno-4-16" name="__codelineno-4-16" href="#__codelineno-4-16"></a><span class="w">        </span><span class="n">cudaLaunchConfig_t</span><span class="w"> </span><span class="n">config</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">{</span><span class="mi">0</span><span class="p">};</span>
+</span><span id="__span-4-17"><a id="__codelineno-4-17" name="__codelineno-4-17" href="#__codelineno-4-17"></a><span class="w">        </span><span class="c1">// The grid dimension is not affected by cluster launch, and is still enumerated</span>
+</span><span id="__span-4-18"><a id="__codelineno-4-18" name="__codelineno-4-18" href="#__codelineno-4-18"></a><span class="w">        </span><span class="c1">// using number of blocks.</span>
+</span><span id="__span-4-19"><a id="__codelineno-4-19" name="__codelineno-4-19" href="#__codelineno-4-19"></a><span class="w">        </span><span class="c1">// The grid dimension should be a multiple of cluster size.</span>
+</span><span id="__span-4-20"><a id="__codelineno-4-20" name="__codelineno-4-20" href="#__codelineno-4-20"></a><span class="w">        </span><span class="n">config</span><span class="p">.</span><span class="n">gridDim</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">numBlocks</span><span class="p">;</span>
+</span><span id="__span-4-21"><a id="__codelineno-4-21" name="__codelineno-4-21" href="#__codelineno-4-21"></a><span class="w">        </span><span class="n">config</span><span class="p">.</span><span class="n">blockDim</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">threadsPerBlock</span><span class="p">;</span>
+</span><span id="__span-4-22"><a id="__codelineno-4-22" name="__codelineno-4-22" href="#__codelineno-4-22"></a>
+</span><span id="__span-4-23"><a id="__codelineno-4-23" name="__codelineno-4-23" href="#__codelineno-4-23"></a><span class="w">        </span><span class="n">cudaLaunchAttribute</span><span class="w"> </span><span class="n">attribute</span><span class="p">[</span><span class="mi">1</span><span class="p">];</span>
+</span><span id="__span-4-24"><a id="__codelineno-4-24" name="__codelineno-4-24" href="#__codelineno-4-24"></a><span class="w">        </span><span class="n">attribute</span><span class="p">[</span><span class="mi">0</span><span class="p">].</span><span class="n">id</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">cudaLaunchAttributeClusterDimension</span><span class="p">;</span>
+</span><span id="__span-4-25"><a id="__codelineno-4-25" name="__codelineno-4-25" href="#__codelineno-4-25"></a><span class="w">        </span><span class="n">attribute</span><span class="p">[</span><span class="mi">0</span><span class="p">].</span><span class="n">val</span><span class="p">.</span><span class="n">clusterDim</span><span class="p">.</span><span class="n">x</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">2</span><span class="p">;</span><span class="w"> </span><span class="c1">// Cluster size in X-dimension</span>
+</span><span id="__span-4-26"><a id="__codelineno-4-26" name="__codelineno-4-26" href="#__codelineno-4-26"></a><span class="w">        </span><span class="n">attribute</span><span class="p">[</span><span class="mi">0</span><span class="p">].</span><span class="n">val</span><span class="p">.</span><span class="n">clusterDim</span><span class="p">.</span><span class="n">y</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span><span class="p">;</span>
+</span><span id="__span-4-27"><a id="__codelineno-4-27" name="__codelineno-4-27" href="#__codelineno-4-27"></a><span class="w">        </span><span class="n">attribute</span><span class="p">[</span><span class="mi">0</span><span class="p">].</span><span class="n">val</span><span class="p">.</span><span class="n">clusterDim</span><span class="p">.</span><span class="n">z</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span><span class="p">;</span>
+</span><span id="__span-4-28"><a id="__codelineno-4-28" name="__codelineno-4-28" href="#__codelineno-4-28"></a><span class="w">        </span><span class="n">config</span><span class="p">.</span><span class="n">attrs</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">attribute</span><span class="p">;</span>
+</span><span id="__span-4-29"><a id="__codelineno-4-29" name="__codelineno-4-29" href="#__codelineno-4-29"></a><span class="w">        </span><span class="n">config</span><span class="p">.</span><span class="n">numAttrs</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span><span class="p">;</span>
+</span><span id="__span-4-30"><a id="__codelineno-4-30" name="__codelineno-4-30" href="#__codelineno-4-30"></a>
+</span><span id="__span-4-31"><a id="__codelineno-4-31" name="__codelineno-4-31" href="#__codelineno-4-31"></a><span class="w">        </span><span class="n">cudaLaunchKernelEx</span><span class="p">(</span><span class="o">&amp;</span><span class="n">config</span><span class="p">,</span><span class="w"> </span><span class="n">cluster_kernel</span><span class="p">,</span><span class="w"> </span><span class="n">input</span><span class="p">,</span><span class="w"> </span><span class="n">output</span><span class="p">);</span>
+</span><span id="__span-4-32"><a id="__codelineno-4-32" name="__codelineno-4-32" href="#__codelineno-4-32"></a><span class="w">    </span><span class="p">}</span>
+</span><span id="__span-4-33"><a id="__codelineno-4-33" name="__codelineno-4-33" href="#__codelineno-4-33"></a><span class="p">}</span>
+</span></code></pre></div>
+<p>スレッドブロッククラスターを使うと、クラスター内の全てのスレッドブロックは一つのGPUクラスター上で一緒にスケジュールされ、<a href="https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#cluster-group">クラスターグループAPI</a>の<code>cluster.sync()</code>を使ってハードウェアにサポートされた同期を行うことができる。また、クラスターグループはスレッド数やブロック数の意味でクラスターグループのサイズを得る<code>num_thread()</code>や<code>num_blocks()</code>といったメンバ関数を提供している。</p>
+<p>クラスター内のスレッドブロックは分散共有メモリへの読み書きと排他制御を行える。<a href="https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#distributed-shared-memory">分散共有メモリ</a>には分散共有メモリでヒストグラムを計算する例が載っている。</p>
+<h2 id="_5">メモリ階層</h2>
+<p>CUDAスレッドは以下の図のように、実行中に複数のメモリ空間のデータにアクセスできる。
+- 各スレッドはプライベートなローカルメモリを持つ。
+- 各スレッドブロックはブロック内のすべてのスレッドに見える、ブロックと同じ寿命を持つ共有メモリを持つ。
+- スレッドブロッククラスター内のスレッドブロックはお互いの共有メモリへの読み書きと排他制御を行える。
+- すべてのスレッドは同じグローバルメモリにアクセスできる。</p>
+<p>また、定数とテクスチャメモリ空間は全てのスレッドからアクセスできる、読み込み専用メモリである。グローバル、定数、テクスチャメモリ空間は異なるメモリ使用法に対して最適化されている (詳しくは<a href="https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#device-memory-accesses">デバイスメモリアクセス</a>にて)。テクスチャメモリは特定のデータフォーマットに対して異なるアドレッシングモードとデータフィルタリングも提供している (詳しくは<a href="https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#texture-and-surface-memory">テクスチャとサーフェスメモリ</a>にて)。</p>
+<p>グローバル、定数、テクスチャメモリ空間は同じアプリケーションによるカーネルの実行中、持続する。</p>
+<p><img alt="" src="https://docs.nvidia.com/cuda/cuda-c-programming-guide/_images/memory-hierarchy.png" />
+<em>メモリ階層</em></p>
+<h2 id="_6">ヘテロジニアスプログラミング</h2>
+<p>以下の図に示すように、CUDAのプログラミングモデルはCUDAスレッドが、C++プログラムを実行するホストに付随するプロセッサーとして操作される、物理的に分けられたデバイス上で実行することを仮定している。これは、例えば、カーネルがGPU上で実行していて、CPU上でC++プログラムの残りを実行する時である。</p>
+<p>CUDAプログラミングモデルはホストとデバイスの両方がそれぞれ自身のメモリ空間をDRAMの中に持つことも仮定している。これらのメモリはそれぞれホストメモリとデバイスメモリと言われる。従って、プログラムはCUDAランタイムの呼び出しを通してカーネルに見えるグローバル、定数、テクスチャのメモリ空間を管理する (詳しくは<a href="programming_interface">プログラミングインターフェイス</a>にて)。これはデバイスメモリの確保と解放、ホストとデバイスメモリ間のデータ転送も含む。</p>
+<p>ユニファイドメモリはホストとデバイスのメモリ空間の橋渡しをする、管理されたメモリを提供する。管理されたメモリは、システムのすべてのCPUとGPUから共通のアドレス空間を持つ単一の一貫したメモリイメージとしてアクセスできる。これによって、デバイスメモリを余分に確保でき、明示的にホストとデバイス上のデータを同期する必要がなくなることからアプリケーションの移植がかなり単純化できる。詳しくは<a href="https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#um-unified-memory-programming-hd">ユニファイドメモリプログラミング</a>にて。</p>
+<p><img alt="" src="https://docs.nvidia.com/cuda/cuda-c-programming-guide/_images/heterogeneous-programming.png" />
+<em>ヘテロジニアスプログラミング</em></p>
+<h2 id="simt">非同期SIMTプログラミングモデル</h2>
+<p>CUDAのプログラミングモデルでは、スレッドは計算やメモリ操作を行う最も低レベルな抽象化である。compute capability 8.0以上のデバイスでは、ハードウェアによって高速化なバリアやメモリコピーが提供されている。compute capability 7.0以上が必要。</p>
+<h3 id="_7">非同期操作</h3>
+<p>非同期操作はCUDAスレッドによって開始される操作として定義され、まるで他のスレッドによって行われるように非同期に実行される。正しいプログラムでは、一つ以上のCUDAスレッドが非同期操作と同期する。非同期操作を開始したCUDAスレッドは同期しているスレッドに含まれる必要はない。</p>
+<p>非同期なスレッドは必ず非同期操作を開始したCUDAスレッドに紐付いている。非同期操作は操作の完了を同期するために同期オブジェクトを使う。同期オブジェクトは明示的に(例えば<code>cuda::memcpy_async</code>などで)ユーザーによって管理されるか、暗黙に(例えば<code>cooperative_groups::memcpy_async</code>などで)ライブラリによって管理される。同期オブジェクトの例として、<code>cuda::barrier</code>や<code>cuda::pipeline</code>がある。詳しくは<a href="https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#aw-barrier">非同期バリア</a>と<a href="https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#asynchronous-data-copies">cuda::pipelineを使った非同期なデータコピー</a>にて。</p>
+<p>これらの同期オブジェクトは異なるスレッドスコープで使うことが出来る。スコープは非同期操作と同期するための同期オブジェクトを使うかもしれないスレッドの集合を定義する。
+以下のテーブルはCUDA C++で使えるスレッドスコープと一緒に同期されるスレッドを定義する。</p>
+<table>
+<thead>
+<tr>
+<th>スレッドスコープ</th>
+<th>同期対象のCUDAスレッド</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>cuda::thread_scope::thread_scope_thread</code></td>
+<td>非同期操作を開始したスレッドのみ</td>
+</tr>
+<tr>
+<td><code>cuda::thread_scope::thread_scope_block</code></td>
+<td>開始したスレッドと同じスレッドブロック内の任意のスレッド</td>
+</tr>
+<tr>
+<td><code>cuda::thread_scope::thread_scope_device</code></td>
+<td>開始したスレッドと同じGPUデバイス内の任意のスレッド</td>
+</tr>
+<tr>
+<td><code>cuda::thread_scope::thread_scope_device</code></td>
+<td>開始したスレッドと同じシステム内の任意のスレッド</td>
+</tr>
+</tbody>
+</table>
+<p>これらのスレッドスコープはCUDA標準C++ライブラリ内の標準C++の拡張として定義されている。</p>
+<h2 id="compute-capability">Compute Capability</h2>
+<p>デバイスのCompute Capabilityは時々、"SMバージョン"とも呼ばれる、バージョン番号によって表される。このバージョン番号はGPUハードウェアによってサポートされる特徴を識別し、現在のGPU上でどのハードウェアの特徴や命令が使えるかを決定するために実行時にアプリケーションによって使われる。</p>
+<p>compute capabilityは主要な改訂番号Xと副次的な改訂番号Yからなり、X.Yと表される。同じ主要な改定番号を持つデバイスは同じコアアーキテクチャを持つ。副次的な改訂番号は新しい特徴やコアアーキテクチャの改善に対応する。</p>
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-          <div class="md-search-result__meta">
-            Initializing search
-          </div>
-          <ol class="md-search-result__list" role="presentation"></ol>
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-      </div>
-    </div>
-  </div>
-</div>
-    
     
       <div class="md-header__source">
         <a href="https://github.com/sukeya/sukeya.github.io" title="Go to repository" class="md-source" data-md-component="source">
   <div class="md-source__icon md-icon">
     
-    <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><!--! Font Awesome Free 6.6.0 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2024 Fonticons, Inc.--><path d="M439.55 236.05 244 40.45a28.87 28.87 0 0 0-40.81 0l-40.66 40.63 51.52 51.52c27.06-9.14 52.68 16.77 43.39 43.68l49.66 49.66c34.23-11.8 61.18 31 35.47 56.69-26.49 26.49-70.21-2.87-56-37.34L240.22 199v121.85c25.3 12.54 22.26 41.85 9.08 55a34.34 34.34 0 0 1-48.55 0c-17.57-17.6-11.07-46.91 11.25-56v-123c-20.8-8.51-24.6-30.74-18.64-45L142.57 101 8.45 235.14a28.86 28.86 0 0 0 0 40.81l195.61 195.6a28.86 28.86 0 0 0 40.8 0l194.69-194.69a28.86 28.86 0 0 0 0-40.81"/></svg>
+    <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 496 512"><!--! Font Awesome Free 6.6.0 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2024 Fonticons, Inc.--><path d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6m-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3m44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9M244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8M97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1m-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7m32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1m-11.4-14.7c-1.6 1-1.6 3.6 0 5.9s4.3 3.3 5.6 2.3c1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2"/></svg>
   </div>
   <div class="md-source__repository">
-    GitHub
+    sukeya/sukeya.github.io
   </div>
 </a>
       </div>
@@ -183,7 +146,9 @@
 
 
 
-<nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
+  
+
+<nav class="md-nav md-nav--primary md-nav--integrated" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
     <a href="." title="私の愛した数式" class="md-nav__button md-logo" aria-label="私の愛した数式" data-md-component="logo">
       
@@ -198,10 +163,10 @@
       <a href="https://github.com/sukeya/sukeya.github.io" title="Go to repository" class="md-source" data-md-component="source">
   <div class="md-source__icon md-icon">
     
-    <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><!--! Font Awesome Free 6.6.0 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2024 Fonticons, Inc.--><path d="M439.55 236.05 244 40.45a28.87 28.87 0 0 0-40.81 0l-40.66 40.63 51.52 51.52c27.06-9.14 52.68 16.77 43.39 43.68l49.66 49.66c34.23-11.8 61.18 31 35.47 56.69-26.49 26.49-70.21-2.87-56-37.34L240.22 199v121.85c25.3 12.54 22.26 41.85 9.08 55a34.34 34.34 0 0 1-48.55 0c-17.57-17.6-11.07-46.91 11.25-56v-123c-20.8-8.51-24.6-30.74-18.64-45L142.57 101 8.45 235.14a28.86 28.86 0 0 0 0 40.81l195.61 195.6a28.86 28.86 0 0 0 40.8 0l194.69-194.69a28.86 28.86 0 0 0 0-40.81"/></svg>
+    <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 496 512"><!--! Font Awesome Free 6.6.0 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2024 Fonticons, Inc.--><path d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6m-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3m44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9M244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8M97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1m-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7m32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1m-11.4-14.7c-1.6 1-1.6 3.6 0 5.9s4.3 3.3 5.6 2.3c1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2"/></svg>
   </div>
   <div class="md-source__repository">
-    GitHub
+    sukeya/sukeya.github.io
   </div>
 </a>
     </div>
@@ -427,31 +392,76 @@
   
 
     
-  </ul>
-</nav>
-                  </div>
-                </div>
-              </div>
+      
+      
+  
+  
+  
+  
+    
+    
+    
+    
+    <li class="md-nav__item md-nav__item--nested">
+      
+        
+        
+        <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4" >
+        
+          
+          <label class="md-nav__link" for="__nav_4" id="__nav_4_label" tabindex="0">
             
+  
+  <span class="md-ellipsis">
+    CUDAプログラミングガイド
+  </span>
+  
+
+            <span class="md-nav__icon md-icon"></span>
+          </label>
+        
+        <nav class="md-nav" data-md-level="1" aria-labelledby="__nav_4_label" aria-expanded="false">
+          <label class="md-nav__title" for="__nav_4">
+            <span class="md-nav__icon md-icon"></span>
+            CUDAプログラミングガイド
+          </label>
+          <ul class="md-nav__list" data-md-scrollfix>
             
               
-              <div class="md-sidebar md-sidebar--secondary" data-md-component="sidebar" data-md-type="toc" >
-                <div class="md-sidebar__scrollwrap">
-                  <div class="md-sidebar__inner">
-                    
-
-<nav class="md-nav md-nav--secondary" aria-label="Table of contents">
+                
   
   
   
-    
   
+    <li class="md-nav__item">
+      <a href="cuda_programming_guide/programming_model/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    プログラミングモデル
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+              
+            
+          </ul>
+        </nav>
+      
+    </li>
   
+
+    
+  </ul>
 </nav>
                   </div>
                 </div>
               </div>
             
+            
           
           
             <div class="md-content" data-md-component="content">
@@ -460,6 +470,19 @@
                   
 
   
+    <a href="https://github.com/sukeya/sukeya.github.io/edit/main/docs/index.md" title="Edit this page" class="md-content__button md-icon">
+      
+      <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M10 20H6V4h7v5h5v3.1l2-2V8l-6-6H6c-1.1 0-2 .9-2 2v16c0 1.1.9 2 2 2h4zm10.2-7c.1 0 .3.1.4.2l1.3 1.3c.2.2.2.6 0 .8l-1 1-2.1-2.1 1-1c.1-.1.2-.2.4-.2m0 3.9L14.1 23H12v-2.1l6.1-6.1z"/></svg>
+    </a>
+  
+  
+    
+      
+    
+    <a href="https://github.com/sukeya/sukeya.github.io/raw/main/docs/index.md" title="View source of this page" class="md-content__button md-icon">
+      
+      <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M17 18c.56 0 1 .44 1 1s-.44 1-1 1-1-.44-1-1 .44-1 1-1m0-3c-2.73 0-5.06 1.66-6 4 .94 2.34 3.27 4 6 4s5.06-1.66 6-4c-.94-2.34-3.27-4-6-4m0 6.5a2.5 2.5 0 0 1-2.5-2.5 2.5 2.5 0 0 1 2.5-2.5 2.5 2.5 0 0 1 2.5 2.5 2.5 2.5 0 0 1-2.5 2.5M9.27 20H6V4h7v5h5v4.07c.7.08 1.36.25 2 .49V8l-6-6H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h4.5a8.2 8.2 0 0 1-1.23-2"/></svg>
+    </a>
   
 
 
@@ -473,6 +496,61 @@ <h1 id="_1">概要</h1>
 
 
 
+  
+    
+  
+  
+    
+  
+
+
+  <aside class="md-source-file">
+    
+      
+  <span class="md-source-file__fact">
+    <span class="md-icon" title="Last update">
+      <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M21 13.1c-.1 0-.3.1-.4.2l-1 1 2.1 2.1 1-1c.2-.2.2-.6 0-.8l-1.3-1.3c-.1-.1-.2-.2-.4-.2m-1.9 1.8-6.1 6V23h2.1l6.1-6.1zM12.5 7v5.2l4 2.4-1 1L11 13V7zM11 21.9c-5.1-.5-9-4.8-9-9.9C2 6.5 6.5 2 12 2c5.3 0 9.6 4.1 10 9.3-.3-.1-.6-.2-1-.2s-.7.1-1 .2C19.6 7.2 16.2 4 12 4c-4.4 0-8 3.6-8 8 0 4.1 3.1 7.5 7.1 7.9l-.1.2z"/></svg>
+    </span>
+    <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date">2024-08-31</span>
+  </span>
+
+    
+    
+      
+  <span class="md-source-file__fact">
+    <span class="md-icon" title="Created">
+      <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M14.47 15.08 11 13V7h1.5v5.25l3.08 1.83c-.41.28-.79.62-1.11 1m-1.39 4.84c-.36.05-.71.08-1.08.08-4.42 0-8-3.58-8-8s3.58-8 8-8 8 3.58 8 8c0 .37-.03.72-.08 1.08.69.1 1.33.32 1.92.64.1-.56.16-1.13.16-1.72 0-5.5-4.5-10-10-10S2 6.5 2 12s4.47 10 10 10c.59 0 1.16-.06 1.72-.16-.32-.59-.54-1.23-.64-1.92M18 15v3h-3v2h3v3h2v-3h3v-2h-3v-3z"/></svg>
+    </span>
+    <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date">2024-08-27</span>
+  </span>
+
+    
+    
+    
+      
+  <span class="md-source-file__fact">
+    
+      
+  <span class="md-icon" title="Contributors">
+    <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 2A10 10 0 0 0 2 12c0 4.42 2.87 8.17 6.84 9.5.5.08.66-.23.66-.5v-1.69c-2.77.6-3.36-1.34-3.36-1.34-.46-1.16-1.11-1.47-1.11-1.47-.91-.62.07-.6.07-.6 1 .07 1.53 1.03 1.53 1.03.87 1.52 2.34 1.07 2.91.83.09-.65.35-1.09.63-1.34-2.22-.25-4.55-1.11-4.55-4.92 0-1.11.38-2 1.03-2.71-.1-.25-.45-1.29.1-2.64 0 0 .84-.27 2.75 1.02.79-.22 1.65-.33 2.5-.33s1.71.11 2.5.33c1.91-1.29 2.75-1.02 2.75-1.02.55 1.35.2 2.39.1 2.64.65.71 1.03 1.6 1.03 2.71 0 3.82-2.34 4.66-4.57 4.91.36.31.69.92.69 1.85V21c0 .27.16.59.67.5C19.14 20.16 22 16.42 22 12A10 10 0 0 0 12 2"/></svg>
+  </span>
+  <span>GitHub</span>
+
+    
+    <nav>
+      
+        <a href="https://github.com/sukeya" class="md-author" title="@sukeya">
+          
+          <img src="https://avatars.githubusercontent.com/u/64895419?v=4&size=72" alt="sukeya">
+        </a>
+      
+      
+      
+    </nav>
+  </span>
+
+    
+  </aside>
 
 
 
@@ -486,6 +564,12 @@ <h1 id="_1">概要</h1>
 <script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script>
         </div>
         
+          <button type="button" class="md-top md-icon" data-md-component="top" hidden>
+  
+  <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8z"/></svg>
+  Back to top
+</button>
+        
       </main>
       
         <footer class="md-footer">
@@ -512,7 +596,7 @@ <h1 id="_1">概要</h1>
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-    <script id="__config" type="application/json">{"base": ".", "features": ["content.code.copy"], "search": "assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": ".", "features": ["content.code.copy", "content.action.edit", "content.action.view", "toc.integrate", "navigation.top"], "search": "assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/search/search_index.json b/search/search_index.json
deleted file mode 100644
index d25be56..0000000
--- a/search/search_index.json
+++ /dev/null
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-{"config":{"lang":["en"],"separator":"[\\s\\-]+","pipeline":["stopWordFilter"]},"docs":[{"location":"","title":"\u6982\u8981","text":"<p>\u3053\u306e\u30b5\u30a4\u30c8\u306f\u79c1\u304c\u30e1\u30f3\u30c6\u30ca\u30f3\u30b9\u3057\u3066\u3044\u308bOSS\u306e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3068\u30d6\u30ed\u30b0\u3092\u63b2\u8f09\u3057\u3066\u3044\u307e\u3059\u3002</p> <p>\u3054\u610f\u898b\u3001\u3054\u611f\u60f3\u306fGitHub\u306eIssue\u307e\u305f\u306fX(\u65e7Twitter)\u306b\u3054\u9023\u7d61\u304f\u3060\u3055\u3044\u3002</p>"},{"location":"blog/cannot-change-perf-event-paranoid/","title":"perf_event_paranoid\u3092\u5909\u66f4\u3067\u304d\u306a\u3044\u6642\u306e\u5bfe\u51e6\u6cd5","text":"<p>\u3053\u306e\u8a18\u4e8b\u306f<code>perf</code>\u3092\u4f7f\u3044\u305f\u3044\u304c\u3001\u4f55\u3089\u304b\u306e\u7406\u7531\u3067<code>/proc/sys/kernel/perf_event_paranoid</code>\u3092\u5909\u66f4\u3067\u304d\u306a\u3044\u65b9\u5411\u3051\u3067\u3059\u3002Ubuntu 22.04\u3067\u691c\u8a3c\u6e08\u307f\u3067\u3059\u3002</p>"},{"location":"blog/cannot-change-perf-event-paranoid/#_1","title":"\u524d\u63d0","text":"<p>\u4ee5\u4e0b\u3092\u4eee\u5b9a\u3057\u307e\u3059\u3002</p> <ul> <li>\u7279\u6a29(sudo\u3092\u4f7f\u3048\u308b)\u3092\u6301\u3063\u3066\u3044\u308b</li> <li>perf\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u6e08\u307f</li> </ul>"},{"location":"blog/cannot-change-perf-event-paranoid/#_2","title":"\u3084\u308a\u65b9","text":"<p>\u307e\u305a\u3001<code>perf</code>\u304c\u3042\u308b\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u306b\u79fb\u52d5\u3057\u307e\u3059\u3002\u30b7\u30f3\u30dc\u30ea\u30c3\u30af\u30ea\u30f3\u30af\u3067\u3082\u69cb\u3044\u307e\u305b\u3093\u3002</p> <pre><code># which perf\n/usr/bin/perf\n# cd /usr/bin\n</code></pre> <p>\u6b21\u306b\u3001<code>perf_users</code>\u3068\u3044\u3046\u30b0\u30eb\u30fc\u30d7\u3092\u4f5c\u6210\u3057\u3001\u3053\u306e\u30b0\u30eb\u30fc\u30d7\u306b<code>perf</code>\u3092\u8ffd\u52a0\u3057\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u3063\u3066\u3001<code>perf</code>\u3092\u5b9f\u884c\u3067\u304d\u308b\u30e6\u30fc\u30b6\u30fc\u3092\u5236\u9650\u3067\u304d\u307e\u3059\u3002</p> <pre><code># sudo groupadd perf_users\n# ls -alhF\n-rwxr-xr-x  2 root root  11M Oct 19 15:12 perf\n# chgrp perf_users perf\n# ls -alhF\n-rwxr-xr-x  2 root perf_users  11M Oct 19 15:12 perf\n# chmod o-rwx perf\n# ls -alhF\n-rwxr-x---  2 root perf_users  11M Oct 19 15:12 perf\n</code></pre> <p><code>perf</code>\u306b\u5fc5\u8981\u306a\u6a29\u9650\u3092\u4e0e\u3048\u3001<code>perf_users</code>\u306e\u30e1\u30f3\u30d0\u30fc\u304c\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u307e\u3059\u3002</p> <pre><code># setcap \"cap_perfmon=ep\" perf\n# setcap -v \"cap_perfmon=ep\" perf\nperf: OK\n# getcap perf\nperf cap_perfmon=ep\n</code></pre>"},{"location":"blog/cannot-change-perf-event-paranoid/#_3","title":"\u89e3\u8aac","text":"<p>Linux\u3067\u306f\u3001\u7279\u6a29\u3092\u30b1\u30fc\u30d1\u30d3\u30ea\u30c6\u30a3(capabilities)\u3068\u547c\u3070\u308c\u308b\u3001\u7570\u306a\u308b\u5358\u4f4d\u306b\u5206\u5272\u3057\u3066\u3044\u3066\u3001\u975e\u7279\u6a29\u30e6\u30fc\u30b6\u30fc\u306e\u30d7\u30ed\u30bb\u30b9\u3084\u30d5\u30a1\u30a4\u30eb\u306b\u5bfe\u3057\u3066\u30b9\u30ec\u30c3\u30c9\u6bce\u306b\u500b\u5225\u306b\u6709\u52b9\u307e\u305f\u306f\u7121\u52b9\u306b\u51fa\u6765\u307e\u3059\u3002</p> <p><code>CAP_PERFMON</code>\u3068\u3044\u3046\u30b1\u30fc\u30d1\u30d3\u30ea\u30c6\u30a3\u3092\u6301\u3063\u305f\u975e\u7279\u6a29\u30d7\u30ed\u30bb\u30b9\u306f\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u306b\u95a2\u3057\u3066\u7279\u6a29\u3092\u6301\u3064\u30d7\u30ed\u30bb\u30b9\u3068\u3057\u3066\u6271\u308f\u308c\u307e\u3059\u3002<code>CAP_PERFMON</code>\u306f\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u306e\u305f\u3081\u306b\u5fc5\u8981\u306a\u6700\u5c0f\u9650\u306e\u7279\u6a29\u3057\u304b\u6301\u305f\u305a\u3001\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u306e\u305f\u3081\u306e\u5b89\u5168\u306a\u65b9\u6cd5\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002</p> <p>\u3088\u308a\u8a73\u3057\u304f\u8abf\u3079\u305f\u3044\u6642\u306f\u5fc5\u8981\u306a\u7279\u6a29\u3092\u6307\u5b9a\u3057\u307e\u3059\u3002\u4f8b\u3048\u3070\u3001<code>/proc/kallsyms</code>\u30d5\u30a1\u30a4\u30eb\u304b\u3089\u30ab\u30fc\u30cd\u30eb\u7a7a\u9593\u306e\u30e1\u30e2\u30ea\u30a2\u30c9\u30ec\u30b9\u3092\u8aad\u307f\u305f\u3044\u6642\u306f<code>CAP_SYSLOG</code>\u30b1\u30fc\u30d1\u30d3\u30ea\u30c6\u30a3\u3092\u6307\u5b9a\u3057\u307e\u3059\u3002</p> <p><code>=ep</code>\u306f\u30d5\u30a1\u30a4\u30eb\u3078\u306e\u30b1\u30fc\u30d1\u30d3\u30ea\u30c6\u30a3\u306e\u8a2d\u5b9a\u3067\u3001\u30b9\u30ec\u30c3\u30c9\u8d77\u52d5\u6642\u306b<code>CAP_PERFMON</code>\u3092\u6709\u52b9\u306b\u3059\u308b\u3068\u3044\u3046\u8a2d\u5b9a\u3089\u3057\u3044\u3067\u3059\u3002</p> <p>Linux v5.9\u4ee5\u524d\u3067\u306f<code>CAP_SYS_PTRACE</code>\u304c\u5fc5\u8981\u3067\u3057\u305f\u304c\u3001\u305d\u308c\u4ee5\u964d\u3067\u306f\u5fc5\u8981\u3042\u308a\u307e\u305b\u3093\u3002</p>"},{"location":"blog/cannot-change-perf-event-paranoid/#_4","title":"\u53c2\u8003\u6587\u732e","text":"<ol> <li>Perf events and tool security</li> <li>capabilities - Linux \u306e\u30b1\u30fc\u30d1\u30d3\u30ea\u30c6\u30a3 (capability) \u306e\u6982\u8981</li> </ol>"},{"location":"blog/config-apple-magic-keyboard-in-ubuntu/","title":"Apple Magic Keyboard\u306e\u8a2d\u5b9a","text":"<p>\u53c2\u8003\u306e\u8a18\u4e8b\u304c\u6d88\u3048\u305f\u6642\u306b\u5099\u3048\u3066\u3001Apple\u306e\u30c6\u30f3\u30ad\u30fc\u4ed8\u304d\u65e5\u672c\u8a9eMagic Keyboard\u306e\u8a2d\u5b9a\u65b9\u6cd5\u3092\u3053\u3053\u306b\u6b8b\u3057\u3066\u304a\u304d\u307e\u3059\u3002 \u30b7\u30b9\u30c6\u30e0\u8a00\u8a9e\u3092\u82f1\u8a9e\u3068\u3057\u307e\u3059\u3002</p>"},{"location":"blog/config-apple-magic-keyboard-in-ubuntu/#_1","title":"\u3084\u308a\u65b9","text":""},{"location":"blog/config-apple-magic-keyboard-in-ubuntu/#_2","title":"\u30ad\u30fc\u30dc\u30fc\u30c9\u306e\u8a2d\u5b9a","text":"<ol> <li> <p>\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u6253\u3064\u3002 <pre><code>sudo dpkg-reconfigure keyboard-configuration\n</code></pre></p> </li> <li> <p><code>Apple Aluminium (JIS)</code>\u3092\u9078\u629e\u3059\u308b\u3002</p> </li> <li> <p><code>Japanese</code>\u3092\u9078\u629e\u3059\u308b\u3002</p> </li> <li> <p><code>Japanese - Japanese (Macintosh)</code>\u3092\u9078\u629e\u3059\u308b\u3002</p> </li> <li> <p><code>No toggling</code>\u3092\u9078\u629e\u3059\u308b\u3002</p> </li> <li> <p><code>No temporary switch</code>\u3092\u9078\u629e\u3059\u308b\u3002</p> </li> <li> <p><code>The default for the keyboard layout</code>\u3092\u9078\u629e\u3059\u308b\u3002</p> </li> <li> <p><code>No compose key</code>\u3092\u9078\u629e\u3059\u308b\u3002</p> </li> <li> <p><code>No</code>\u3092\u9078\u629e\u3059\u308b\u3002</p> </li> </ol> <p>\u3053\u306e\u307e\u307e\u3060\u3068\u300c\u304b\u306a\u300d\u3068\u300c\u82f1\u6570\u300d\u306e\u6319\u52d5\u304c\u9006\u306b\u306a\u3063\u3066\u3044\u308b\u305f\u3081\u3001Mozc\u306e\u8a2d\u5b9a\u3067\u7121\u7406\u3084\u308a\u9006\u306b\u3059\u308b\u3002</p>"},{"location":"blog/config-apple-magic-keyboard-in-ubuntu/#mozc","title":"Mozc\u306e\u8a2d\u5b9a","text":"<p>\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u3001\u30ad\u30fc\u30de\u30c3\u30d7\u3092\u5909\u66f4\u3059\u308b\u3002<code>Deactivate IME</code>\u306b\u3057\u3066\u3044\u308b\u306e\u306f\u534a\u89d2\u82f1\u6570\u3067\u306e\u5165\u529b\u6642\u306b\u5909\u63db\u3092\u7121\u52b9\u306b\u3059\u308b\u305f\u3081\u3002</p> Mode Key Command DirectInput Eisu Set input mode to Hiragana Precomposition Eisu Set input mode to Hiragana Composition Eisu Set input mode to Hiragana Conversion Eisu Set input mode to Hiragana DirectInput Hiragana Deactivate IME Precomposition Hiragana Deactivate IME Composition Hiragana Deactivate IME Conversion Hiragana Deactivate IME"},{"location":"blog/config-apple-magic-keyboard-in-ubuntu/#xmodmap","title":"xmodmap\u306e\u8a2d\u5b9a","text":"<p><code>.Xmodmap</code>\u306b\u4ee5\u4e0b\u306e\u884c\u3092\u66f8\u3044\u3066<code>xmodmap .Xmodmap</code>\u3092\u5b9f\u884c\u3059\u308b\u3068\u3001<code>Shift</code>\u3068<code>_</code>\u3067\u30d0\u30c3\u30af\u30b9\u30e9\u30c3\u30b7\u30e5\u3092\u6253\u3066\u308b\u3088\u3046\u306b\u306a\u308b\u3002 \u3082\u3061\u308d\u3093\u3001<code>_</code>\u3092\u62bc\u305b\u3070<code>_</code>\u304c\u51fa\u308b\u3002 <pre><code>keycode 97 = underscore backslash underscore backslash\n</code></pre></p>"},{"location":"blog/config-apple-magic-keyboard-in-ubuntu/#_3","title":"\u53c2\u8003","text":"<ol> <li>MacBook Air\u3067Ubuntu\u30ad\u30fc\u30dc\u30fc\u30c9\u30ec\u30a4\u30a2\u30a6\u30c8\u3092\u8a2d\u5b9a\u3059\u308b</li> </ol>"},{"location":"blog/how-to-use-alembic/","title":"Alembic\u306e\u4f7f\u3044\u65b9","text":"<p>\u3053\u306e\u8a18\u4e8b\u306fAlembic\u306ev1.8.3\u3092\u53c2\u7167\u3057\u3066\u3044\u307e\u3059\u3002 \u610f\u5473\u304c\u308f\u304b\u3089\u306a\u304f\u3066\u3082\u6700\u5f8c\u307e\u3067\u76ee\u3092\u901a\u3057\u3066\u304b\u3089\u3001\u3082\u3046\u4e00\u5ea6\u8aad\u3080\u3053\u3068\u3092\u304a\u52e7\u3081\u3057\u307e\u3059\u3002 \u79c1\u304c\u7406\u89e3\u3057\u3066\u3044\u308b<code>PolyMesh</code>(\u30dd\u30ea\u30b4\u30f3\u30e1\u30c3\u30b7\u30e5)\u3068<code>Xform</code>(\u30e1\u30c3\u30b7\u30e5\u306e\u5909\u5f62)\u306b\u95a2\u9023\u3059\u308b\u9805\u76ee\u306e\u307f\u53d6\u308a\u4e0a\u3052\u307e\u3059\u3002</p> <p>\u307e\u305f\u3001alembic for realtime rendering\u3084Alembic\u521d\u671f\u306e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8alembic - AlembicPoint9UsersGuide.wiki\u3092\u8aad\u3080\u3068\u826f\u3044\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002</p>"},{"location":"blog/how-to-use-alembic/#alembic_1","title":"Alembic\u3068\u306f","text":"<p>Alembic\u306f\u30ec\u30f3\u30c0\u30ea\u30f3\u30b0\u3084\u7269\u7406\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306a\u3069\u3092\u884c\u30463DCG\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u9593\u3067\u3084\u308a\u3068\u308a\u51fa\u6765\u308b\u3001 \u6642\u9593\u3054\u3068\u306e\u7269\u4f53\u306e\u5e7e\u4f55\u60c5\u5831\u3092\u4fdd\u5b58\u3057\u305f\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u30d5\u30a1\u30a4\u30eb\u5f62\u5f0f\u3067\u3042\u308b\u3002</p>"},{"location":"blog/how-to-use-alembic/#_1","title":"\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u69cb\u6210","text":"<p>Alembic\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u6a5f\u80fd\u6bce\u306b\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u3068\u540d\u524d\u7a7a\u9593\u304c\u5206\u3051\u3089\u308c\u3066\u3044\u308b\u3002 \u4ee5\u4e0b\u306e\u8868\u306b\u5fc5\u8981\u306a\u3082\u306e\u3060\u3051\u3092\u629c\u7c8b\u3057\u305f\u3002</p> \u540d\u524d\u7a7a\u9593 \u5185\u5bb9 Abc Alembic\u306e\u57fa\u672c\u7684\u306a\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30a4\u30b9\u3092\u63d0\u4f9b\u3059\u308b AbcCoreAbstract \u6642\u9593\u306b\u95a2\u3059\u308b\u30af\u30e9\u30b9\u4ee5\u5916\u30e6\u30fc\u30b6\u30fc\u304c\u898b\u308b\u5fc5\u8981\u306f\u306a\u3044 AbcCoreHDF5 HDF5\u3092\u30d5\u30a1\u30a4\u30eb\u5f62\u5f0f\u306b\u4f7f\u3063\u305f\u5834\u5408\u306e\u5165\u51fa\u529b\u306e\u5b9f\u88c5 AbcCoreLayer Alembic\u30d5\u30a1\u30a4\u30eb\u3078\u306e\u5909\u66f4\u3092\u5225\u306eAlembic\u30d5\u30a1\u30a4\u30eb\u306b\u66f8\u304d\u8fbc\u3093\u3060\u308a\u3001\u8907\u6570\u306eAlembic\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u8fbc\u3093\u3067\u4e00\u3064\u306eAlembic\u30d5\u30a1\u30a4\u30eb\u306b\u307e\u3068\u3081\u308b\u6a5f\u80fd\u306e\u5b9f\u88c5 AbcCoreOgawa Ogawa\u3092\u30d5\u30a1\u30a4\u30eb\u5f62\u5f0f\u306b\u4f7f\u3063\u305f\u5834\u5408\u306e\u5165\u51fa\u529b\u306e\u5b9f\u88c5 AbcGeom Abc\u3092\u4f7f\u3063\u3066\u3001\u7269\u4f53\u306e\u5e7e\u4f55\u60c5\u5831\u3084\u525b\u4f53\u5909\u5f62\u3092\u5b9f\u88c5\u3057\u3066\u3044\u308b"},{"location":"blog/how-to-use-alembic/#_2","title":"\u30d5\u30a1\u30a4\u30eb\u306e\u5165\u51fa\u529b\u306b\u3064\u3044\u3066","text":"<p>Ogawa\u306fHDF5\u3088\u308a\u30b7\u30f3\u30b0\u30eb\u30b9\u30ec\u30c3\u30c9\u3060\u3068\u5e73\u5747\u30675\u500d\u3001\u30de\u30eb\u30c1\u30b9\u30ec\u30c3\u30c9\u3060\u3068\u540c\u3058\u64cd\u4f5c\u3092\u884c\u3063\u305f\u5834\u5408\u3068\u6bd4\u8f03\u3057\u306625\u500d\u901f\u304f\u8aad\u307f\u8fbc\u3080\u3002 \u307e\u305f\u3001\u30d5\u30a1\u30a4\u30eb\u30b5\u30a4\u30ba\u304c\u5e73\u5747\u30675-15%\u5c0f\u3055\u304f\u306a\u308a\u3001\u5c0f\u3055\u3044\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u304c\u591a\u3044\u307b\u3069\u30d5\u30a1\u30a4\u30eb\u30b5\u30a4\u30ba\u3082\u5c0f\u3055\u304f\u306a\u308b\u3002 \u7279\u306b\u7406\u7531\u304c\u306a\u3051\u308c\u3070\u3001Ogawa\u3092\u4f7f\u3046\u3053\u3068\u3092\u304a\u52e7\u3081\u3059\u308b\u3002</p>"},{"location":"blog/how-to-use-alembic/#abccorelayer","title":"AbcCoreLayer\u3067\u51fa\u6765\u308b\u3053\u3068","text":"<p>\u4ee5\u4e0b\u306e\u8868\u306b\u5217\u6319\u3059\u308b\u3002</p> \u51fa\u6765\u308b\u3053\u3068 \u4f8b \u5f62\u72b6\u306b\u8ffd\u52a0\u306e\u30d7\u30ed\u30d1\u30c6\u30a3\u3092\u8ffd\u52a0\u3067\u304d\u308b UV\u304c\u306a\u3044\u30dd\u30ea\u30b4\u30f3\u30e1\u30c3\u30b7\u30e5\u306bUV\u3092\u8ffd\u52a0 \u30d7\u30ed\u30d1\u30c6\u30a3\u306e\u4e0a\u66f8\u304d \u30dd\u30ea\u30b4\u30f3\u30e1\u30c3\u30b7\u30e5\u4e0a\u306e\u9759\u7684\u306a\u70b9\u3092\u52d5\u304f\u70b9\u306b\u5909\u66f4 \u65b0\u3057\u3044\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u8ffd\u52a0 \u65b0\u3057\u3044\u5f62\u72b6\u3092\u65e2\u5b58\u306e\u968e\u5c64\u306b\u8ffd\u52a0 \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u524a\u9664 \u597d\u307f\u3058\u3083\u306a\u3044\u5f62\u72b6\u3084\u968e\u5c64\u306e\u30d6\u30e9\u30f3\u30c1\u5168\u4f53\u306e\u524a\u9664 \u30d7\u30ed\u30d1\u30c6\u30a3\u306e\u524a\u9664 \u4e0d\u6b63\u306a\u6cd5\u7dda\u306e\u524a\u9664 \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u968e\u5c64\u306e\u7f6e\u304d\u63db\u3048 \u5206\u3051\u3089\u308c\u305f\u66f2\u7dda\u306e\u30b0\u30eb\u30fc\u30d7\u3092\u4e00\u3064\u306e\u5927\u304d\u306a\u66f2\u7dda\u306b\u7f6e\u304d\u63db\u3048\u308b \u30d7\u30ed\u30d1\u30c6\u30a3\u968e\u5c64\u306e\u7f6e\u304d\u63db\u3048 \u30e6\u30fc\u30b6\u30fc\u30d7\u30ed\u30d1\u30c6\u30a3\u5185\u306e\u30d7\u30ed\u30d1\u30c6\u30a3\u3092\u4ed6\u306e\u30d7\u30ed\u30d1\u30c6\u30a3\u306b\u7f6e\u304d\u63db\u3048\u308b <p>\u307e\u305f\u3001Alembic\u30d5\u30a1\u30a4\u30eb\u306f\u8ffd\u8a18\u304c\u51fa\u6765\u306a\u3044\u305f\u3081\u3001<code>Points</code>\u306a\u3069\u6642\u7cfb\u5217\u3067\u4fdd\u5b58\u3067\u304d\u306a\u3044\u5834\u5408\u306f\u6642\u7cfb\u5217\u9806\u306b\u30d5\u30a1\u30a4\u30eb\u306b\u540d\u524d\u3092\u4ed8\u3051\u3066\u3001\u3053\u306e\u6a5f\u80fd\u3067\u8aad\u307f\u8fbc\u3080\u3068\u826f\u3044\u3002</p> <p>AbcCoreLayer\u306f<code>MetaData</code>\u3092\u9069\u5207\u306b\u8a2d\u5b9a\u3059\u308b\u305f\u3081\u306b\u3001<code>Util.h</code>\u5185\u306b<code>SetPrune</code>\u3068<code>SetReplace</code>\u3068\u3044\u3046\u4fbf\u5229\u306a\u95a2\u6570\u3092\u63d0\u4f9b\u3057\u3066\u3044\u308b\u3089\u3057\u3044\u3002</p>"},{"location":"blog/how-to-use-alembic/#_3","title":"\u4e3b\u306a\u6982\u5ff5","text":"<p>Alembic\u3067\u306f\u3001\u5165\u529b\u6642\u306b\u4f7f\u3046\u30af\u30e9\u30b9\u306b\u306f<code>I</code>\u304c\u3001\u51fa\u529b\u6642\u306b\u4f7f\u3046\u3082\u306e\u306b\u306f<code>O</code>\u304c\u540d\u524d\u306e\u5148\u982d\u306b\u4ed8\u304f\u3002 \u3053\u3053\u3067\u306f\u533a\u5225\u3059\u308b\u5fc5\u8981\u304c\u306a\u3044\u305f\u3081\u3001\u7701\u7565\u3059\u308b\u3002</p>"},{"location":"blog/how-to-use-alembic/#archive","title":"<code>Archive</code>","text":"<p>\u30c7\u30a3\u30b9\u30af\u4e0a\u306e\u5b9f\u969b\u306e\u30d5\u30a1\u30a4\u30eb\u3002 \u3059\u3079\u3066\u306e\u30b7\u30fc\u30f3\u30c7\u30fc\u30bf\u3092\u6301\u3064\u30c8\u30c3\u30d7\u30ec\u30d9\u30eb\u306e\u30b3\u30f3\u30c6\u30ca\u3002 1\u3064\u306e<code>Object</code>\u3092\u6301\u3064\u3002</p>"},{"location":"blog/how-to-use-alembic/#object","title":"<code>Object</code>","text":"<p>Alembic\u306e\u968e\u5c64\u306e\u4e3b\u306a\u5358\u4f4d\u3002 <code>Object</code>\u306f<code>Archive</code>\u306e<code>Object</code>\u3092\u30eb\u30fc\u30c8\u3068\u3057\u305f\u591a\u5206\u6728\u306b\u306a\u3063\u3066\u304a\u308a\u3001\u89aa\u3068\u5b50\u4f9b\u305f\u3061\u3092\u53d6\u5f97\u3059\u308b\u3053\u3068\u304c\u51fa\u6765\u308b\u3002 1\u3064\u306e<code>CompoundProperty</code>\u3092\u6301\u3064\u3002 <code>ObjectHeader</code>\u3068\u547c\u3070\u308c\u308b\u30e1\u30bf\u30c7\u30fc\u30bf\u3092\u6301\u3061\u3001<code>SchemaObject</code>\u3092\u5224\u5b9a\u3059\u308b\u305f\u3081\u306b\u4f7f\u308f\u308c\u308b\u3002</p>"},{"location":"blog/how-to-use-alembic/#schema","title":"<code>Schema</code>","text":"<p>\u30dd\u30ea\u30b4\u30f3\u30e1\u30c3\u30b7\u30e5\u3088\u3046\u306a\u3001\u3042\u308b\u8907\u96d1\u306a\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u5b9f\u88c5\u3059\u308b\u305f\u3081\u306b\u4f5c\u3089\u308c\u305f<code>CompoundProperty</code>\u3002</p>"},{"location":"blog/how-to-use-alembic/#schemaobject","title":"<code>SchemaObject</code>","text":"<p><code>Schema</code>\u3092<code>CompundProperty</code>\u3068\u3057\u3066\u6301\u3064<code>Object</code>\u306e\u3053\u3068\u3002</p>"},{"location":"blog/how-to-use-alembic/#property","title":"Property","text":"<p>Simple\u3068Compound\u306e2\u7a2e\u985e\u306e\u578b\u304c\u3042\u308b\u3002 \u5024\u3092\u53d6\u5f97\u3059\u308b\u306b\u306f<code>SampleSelector</code>\u3068\u3044\u3046\u3001\u3042\u308b\u6642\u70b9\u306e\u6642\u523b\u3092\u8868\u3059\u30af\u30e9\u30b9\u3092\u4e0e\u3048\u308b\u5fc5\u8981\u304c\u3042\u308b\u3002</p>"},{"location":"blog/how-to-use-alembic/#simple-property","title":"Simple Property","text":"<p>Scalar\u3068Array\u306e2\u7a2e\u985e\u3042\u308b\u3002</p>"},{"location":"blog/how-to-use-alembic/#scalarproperty","title":"<code>ScalarProperty</code>","text":"<p>\u578b\u3068\u8981\u7d20\u306e\u6570\u304c\u56fa\u5b9a\u3055\u308c\u3001\u30b3\u30f3\u30d1\u30a4\u30eb\u6642\u306b\u6c7a\u307e\u308b\u8907\u6570\u306eSample\u3092\u6301\u3064\u3002 \u4f8b\u3068\u3057\u3066\u3001\u4ee5\u4e0b\u304c\u3042\u308b\u3002</p> <ul> <li>FloatProperty (\u5404Sample\u306f32\u30d3\u30c3\u30c8\u306e\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570; \u9577\u3055 1)</li> <li>StringProperty (\u5404Sample\u306f\u4efb\u610f\u306e\u9577\u3055\u3092\u6301\u3064\u30011\u3064\u306estring; \u9577\u3055 1)</li> <li>M44dProperty (\u5404Sample\u306f16\u500b\u306e64\u30d3\u30c3\u30c8\u306e\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570; \u9577\u3055 16)</li> <li>\u4ee5\u4e0b\u306e3\u3064\u306eSample\u3092\u6301\u3064Property<ul> <li>\u525b\u4f53\u306e\u8cea\u91cf(1\u3064\u306e\u6570\u5024; \u9577\u3055 1)</li> <li>\u8272(\u5024\u304c\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u306eRGB\u306e\u30d9\u30af\u30c8\u30eb;\u9577\u3055 3)</li> <li>\u30d0\u30a6\u30f3\u30c7\u30a3\u30f3\u30b0\u30dc\u30c3\u30af\u30b9(\u5024\u304c\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u306e2\u3064\u306e3\u6b21\u5143\u30d9\u30af\u30c8\u30eb; \u9577\u3055 6)</li> </ul> </li> </ul> <p>ScalarProperty\u306e\u6700\u5927\u306e\u9577\u3055\u306f256\u3067\u3042\u308b\u3002</p>"},{"location":"blog/how-to-use-alembic/#typedarrayproperty","title":"<code>TypedArrayProperty</code>","text":"<p>\u6642\u523b\u6bce\u306e<code>Sample</code>\u3092\u6301\u3064<code>Property</code>\u3002 <code>ArrayProperty</code>\u3082\u3042\u308b\u304c\u3001\u4e3b\u306b\u4f7f\u3046\u306e\u306f\u3053\u3063\u3061\u306e\u65b9\u3002 \u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u30d1\u30e9\u30e1\u30fc\u30bf\u306b\u5024\u306e\u578b(\u6b63\u78ba\u306b\u306fTypedPropertyTraits.h\u3067\u5b9a\u7fa9\u3055\u308c\u305f\u578b)\u304c\u5165\u3063\u3066\u3044\u308b\u3002 \u4f8b\u3068\u3057\u3066\u3001\u4ee5\u4e0b\u304c\u3042\u308b\u3002</p> <ul> <li><code>DoubleArrayProperty</code> (\u5404\u6642\u523b\u3067\u3001\u8981\u7d20\u304c1\u3064\u306e64\u30d3\u30c3\u30c8\u306e\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u306e\u914d\u5217\u3092\u6301\u3064)</li> <li><code>V3fArrayProperty</code> (\u5404\u6642\u523b\u3067\u3001\u8981\u7d20\u304c1\u3064\u306e<code>Imath::Vec3f</code>(3\u3064\u306e32\u30d3\u30c3\u30c8\u306e\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570)\u306e\u914d\u5217\u3092\u6301\u3064)</li> <li><code>M44fArrayProperty</code> (\u5404\u6642\u523b\u3067\u3001\u8981\u7d20\u304c1\u3064\u306e<code>Imath::M44f</code>(16\u500b\u306e32\u30d3\u30c3\u30c8\u306e\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570)\u306e\u914d\u5217\u3092\u6301\u3064)</li> <li>\u591a\u89d2\u5f62\u30e1\u30c3\u30b7\u30e5\u306e\u9802\u70b9\u306e\u30ea\u30b9\u30c8</li> <li>\u6d41\u4f53\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306e\u7c92\u5b50\u306e\u30ea\u30b9\u30c8</li> </ul> <p>\u305f\u3060\u3057\u3001\u540c\u3058Sample\u3092\u4fdd\u5b58\u3057\u306a\u3044\u3002</p>"},{"location":"blog/how-to-use-alembic/#compoundproperty","title":"<code>CompoundProperty</code>","text":"<p>(<code>CompoundProperty</code>\u3092\u542b\u3080)\u8907\u6570\u306eProperty\u3092\u6301\u3064Property\u3002</p>"},{"location":"blog/how-to-use-alembic/#sample","title":"Sample","text":"<p>\u3042\u308b\u6642\u523b\u306e\u751f\u306e\u30c7\u30fc\u30bf\u3002 Property\u3068\u540c\u69d8\u306b\u3001Sample\u3082Scalar\u3068Array\u306e2\u7a2e\u985e\u3042\u308b\u3002 \u4f8b\u3068\u3057\u3066\u3001\u4ee5\u4e0b\u304c\u3042\u308b\u3002</p> <ul> <li><code>DoubleArraySample</code> (\u8981\u7d20\u304c1\u3064\u306e64\u30d3\u30c3\u30c8\u306e\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u306e\u914d\u5217)</li> <li><code>V3fArraySample</code> (\u8981\u7d20\u304c1\u3064\u306e<code>Imath::Vec3f</code>(3\u3064\u306e32\u30d3\u30c3\u30c8\u306e\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570)\u306e\u914d\u5217)</li> <li><code>M44fArraySample</code> (\u8981\u7d20\u304c1\u3064\u306e<code>Imath::M44f</code>(16\u500b\u306e32\u30d3\u30c3\u30c8\u306e\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570)\u306e\u914d\u5217)</li> </ul>"},{"location":"blog/how-to-use-alembic/#timesampling","title":"<code>TimeSampling</code>","text":"<p>Property\u304c\u6301\u3064\u6642\u9593\u3092\u7ba1\u7406\u3059\u308b\u30af\u30e9\u30b9\u3002 \u6642\u9593\u306e\u914d\u5217\u3068<code>TimeSamplingType</code>\u3092\u6301\u3064\u3002 <code>TimeSamplingType</code>\u306e\u7a2e\u985e\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002</p> TimeSamplingType \u610f\u5473 Uniform (\u4e00\u69d8) Sample\u9593\u306e\u6642\u9593\u9593\u9694\u304c\u4e00\u5b9a Cyclic (\u5468\u671f\u7684) Sample\u9593\u306e\u6642\u9593\u9593\u9694\u304c\u5468\u671f\u7684\u306b\u5909\u5316\u3059\u308b Acyclic (\u4e0d\u898f\u5247) Sample\u9593\u306e\u6642\u9593\u9593\u9694\u304c\u4e0d\u898f\u5247\u306b\u5909\u5316\u3059\u308b"},{"location":"blog/how-to-use-alembic/#sampleselector","title":"<code>SampleSelector</code>","text":"<p>Property\u5185\u306eSample\u3092\u53d6\u5f97\u3059\u308b\u305f\u3081\u306b\u4f7f\u3046\u30af\u30e9\u30b9\u3002 <code>TimeSampling</code>\u304c\u6301\u3064\u6642\u9593\u306e\u914d\u5217\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u76f4\u63a5\u4e0e\u3048\u308b\u304b\u3001\u6642\u523b\u3092\u4e0e\u3048\u308b\u3053\u3068\u3067\u4f5c\u308b\u3002 \u6642\u523b\u3092\u6e21\u3059\u5834\u5408\u3001\u8ffd\u52a0\u3067<code>TimeIndexType</code>\u30d5\u30e9\u30b0\u3092\u6e21\u3059\u3053\u3068\u3082\u3067\u304d\u308b\u3002 <code>TimeIndexType</code>\u30d5\u30e9\u30b0\u306e\u610f\u5473\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002</p> TimeIndexType \u610f\u5473 kNearIndex \u4e0e\u3048\u3089\u308c\u305f\u6642\u523b\u306b\u6700\u3082\u8fd1\u3044\u6642\u523b\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9 kFloorIndex \u4e0e\u3048\u3089\u308c\u305f\u6642\u523b\u3088\u308a\u5927\u304d\u304f\u306a\u3044\u3001\u6700\u5927\u306e\u6642\u523b\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9 kCeilIndex \u4e0e\u3048\u3089\u308c\u305f\u6642\u523b\u3088\u308a\u5c0f\u3055\u304f\u306a\u3044\u3001\u6700\u5c0f\u306e\u6642\u523b\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9"},{"location":"blog/how-to-use-alembic/#_4","title":"\u4e3b\u306a\u30b9\u30ad\u30fc\u30de\u30aa\u30d6\u30b8\u30a7\u30af\u30c8","text":""},{"location":"blog/how-to-use-alembic/#polymesh","title":"PolyMesh","text":"<p>\u30dd\u30ea\u30b4\u30f3\u30e1\u30c3\u30b7\u30e5\u3092\u7ba1\u7406\u3059\u308b\u30b9\u30ad\u30fc\u30de\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3002 \u6642\u523b\u6bce\u306b\u9802\u70b9\u3001\u9762\u3001\u9802\u70b9\u3084\u9762\u306e\u6cd5\u7dda\u3092\u6301\u3061\u3001UV\u3001\u9802\u70b9\u3054\u3068\u306e\u901f\u5ea6\u3001AABB\u3082\u6301\u3064\u3053\u3068\u304c\u51fa\u6765\u308b\u3002</p>"},{"location":"blog/how-to-use-alembic/#polymeshschema","title":"PolyMeshSchema","text":"<p><code>PolyMesh</code>\u306e\u30b9\u30ad\u30fc\u30de\u3067\u3001<code>PolyMesh</code>\u30af\u30e9\u30b9\u306e<code>getSchema</code>\u30e1\u30f3\u30d0\u95a2\u6570\u3067\u53d6\u5f97\u3067\u304d\u308b\u3002</p> <p>\u3053\u306e\u30af\u30e9\u30b9\u306e<code>getTopologyVariance</code>\u30e1\u30f3\u30d0\u95a2\u6570\u3067\u30dd\u30ea\u30b4\u30f3\u30e1\u30c3\u30b7\u30e5\u304c\u5909\u5316\u3059\u308b\u304b\u5224\u5b9a\u3067\u304d\u308b\u3002 \u4ee5\u4e0b\u306f\u623b\u308a\u5024\u3068\u305d\u306e\u610f\u5473\u306e\u8868\u3067\u3042\u308b\u3002 \u623b\u308a\u5024\u306f\u540d\u524d\u7a7a\u9593<code>Alembic::AbcGeom::MeshTopologyVariance</code>\u3092\u7701\u7565\u3057\u3066\u3044\u308b\u3002</p> \u623b\u308a\u5024 \u610f\u5473 kConstantTopology \u5909\u5316\u3057\u306a\u3044 kHomogen(e)ousTopology \u9802\u70b9\u306e\u4f4d\u7f6e\u306f\u5909\u308f\u308b\u304c\u3001\u30c8\u30dd\u30ed\u30b8\u30fc\u306f\u5909\u5316\u3057\u306a\u3044 kHeterogen(e)ousTopology \u9802\u70b9\u306e\u4f4d\u7f6e\u3082\u30c8\u30dd\u30ed\u30b8\u30fc\u3082\u5909\u5316\u3059\u308b <p><code>XformSchema</code>\u3068\u540c\u3058\u3088\u3046\u306b\u3001<code>getValue</code>\u30e1\u30f3\u30d0\u95a2\u6570\u3067\u3042\u308b\u6642\u523b\u306e\u30dd\u30ea\u30b4\u30f3\u30e1\u30c3\u30b7\u30e5\u3092\u53d6\u5f97\u3067\u304d\u308b\u304c\u3001\u3044\u304f\u3064\u304b\u6ce8\u610f\u70b9\u304c\u3042\u308b\u3002</p>"},{"location":"blog/how-to-use-alembic/#_5","title":"\u9762","text":"<p>Alembic\u3067\u306f\u3001\u4efb\u610f\u306e\u591a\u89d2\u5f62\u3092\u6301\u3064\u3053\u3068\u304c\u51fa\u6765\u308b\u3002 \u3064\u307e\u308a\u3001\u4e09\u89d2\u5f62\u3084\u56db\u89d2\u5f62\u3092\u6301\u3064\u30dd\u30ea\u30b4\u30f3\u30e1\u30c3\u30b7\u30e5\u3092Alembic\u306b\u4fdd\u5b58\u3067\u304d\u308b\u3002 \u3053\u306e\u3053\u3068\u3092\u5b9f\u73fe\u3059\u308b\u305f\u3081\u306b\u3001\u9762\u3092\u4ee5\u4e0b\u306e\u30ea\u30b9\u30c8\u3067\u8868\u73fe\u3057\u3066\u3044\u308b\u3002</p> <ol> <li>\u305d\u308c\u305e\u308c\u306e\u9762\u3092\u69cb\u6210\u3059\u308b\u9802\u70b9\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u6301\u30641\u6b21\u5143\u306e\u30ea\u30b9\u30c8</li> <li>\u305d\u308c\u305e\u308c\u306e\u9762\u306b\u542b\u307e\u308c\u308b\u9802\u70b9\u306e\u500b\u6570\u306e\u30ea\u30b9\u30c8</li> </ol> <p>1\u3064\u76ee\u306e\u30ea\u30b9\u30c8\u306f\u9762\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3068\u30ea\u30b9\u30c8\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u5bfe\u5fdc\u3055\u305b\u305f2\u6b21\u5143\u306e\u30ea\u30b9\u30c8\u3092\u30d5\u30e9\u30c3\u30c8\u306b\u3057\u305f\u3082\u306e\u3067\u3082\u3042\u308b\u3002 \u5177\u4f53\u4f8b\u3068\u3057\u3066\u3001\u4e09\u89d2\u5f62\u3068\u56db\u89d2\u5f62\u3092\u305d\u308c\u305e\u308c1\u3064\u305a\u3064\u6301\u3061\u30011\u8fba\u3092\u5171\u6709\u3059\u308b\u30e1\u30c3\u30b7\u30e5\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002</p> <ol> <li>[0, 1, 2, 1, 3, 4, 2]</li> <li>[3, 4]</li> </ol> <p>1\u3064\u76ee\u306e\u30ea\u30b9\u30c8\u3092\u6301\u3064Property\u306f<code>getFaceIndicesProperty</code>\u30e1\u30f3\u30d0\u95a2\u6570\u3067\u53d6\u5f97\u3067\u304d\u30012\u3064\u76ee\u306e\u30ea\u30b9\u30c8\u3092\u6301\u3064Property\u306f<code>getFaceIndicesProperty</code>\u30e1\u30f3\u30d0\u95a2\u6570\u3067\u53d6\u5f97\u3067\u304d\u308b\u3002</p>"},{"location":"blog/how-to-use-alembic/#_6","title":"\u6cd5\u7dda","text":"<p>\u5b9f\u306f\u6cd5\u7dda\u3068UV\u306f\u3053\u308c\u307e\u3067\u8aac\u660e\u3057\u3066\u304d\u305f\u30af\u30e9\u30b9\u306e\u3069\u308c\u3067\u3082\u306a\u3044\u3002 \u6cd5\u7dda\u306f<code>TypedGeomParam</code>\u3068\u3044\u3046Schema\u306b\u4f3c\u305f\u3088\u3046\u306a\u30af\u30e9\u30b9\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3067\u3001<code>PolyMeshSchema</code>\u30af\u30e9\u30b9\u306e<code>getNormalsParam</code>\u30e1\u30f3\u30d0\u95a2\u6570\u3067\u53d6\u5f97\u3067\u304d\u308b\u3002 \u6cd5\u7dda\u306e\u5024\u306e\u610f\u5473\u306f<code>TypedGeomParam</code>\u30af\u30e9\u30b9\u306e<code>getScope</code>\u306e\u623b\u308a\u5024\u306b\u3088\u3063\u3066\u7570\u306a\u308a\u3001\u4ee5\u4e0b\u306e\u901a\u308a\u3002</p> \u623b\u308a\u5024 \u610f\u5473 kConstantScope \u30dd\u30ea\u30b4\u30f3\u30e1\u30c3\u30b7\u30e5\u5168\u4f53\u30671\u3064\u3060\u3051\u306e\u5024 kUniformScope \u5404\u591a\u89d2\u5f62\u306b\u5bfe\u3057\u30661\u3064\u306e\u5024 kVaryingScope, kVertexScope \u5404\u591a\u89d2\u5f62\u306e\u9802\u70b9\u306b\u5bfe\u3057\u30661\u3064\u306e\u5024\u304c\u3042\u308a\u3001\u591a\u89d2\u5f62\u5185\u3067\u7dda\u5f62\u306b\u88dc\u9593\u3055\u308c\u308b kFacevaryingScope <code>kVaryingScope</code>\u3068\u540c\u69d8\u306b\u591a\u89d2\u5f62\u306e\u9802\u70b9\u306b1\u3064\u306e\u5024\u304c\u3042\u308a\u3001\u591a\u89d2\u5f62\u5185\u3067\u7dda\u5f62\u306b\u88dc\u9593\u3055\u308c\u308b\u304c\u3001\u591a\u89d2\u5f62\u306e\u9802\u70b9\u306e\u5024\u306f\u591a\u89d2\u5f62\u6bce\u306b\u7570\u306a\u3063\u3066\u3082\u3088\u3044 <p>\u6cd5\u7dda\u306e\u5024\u306e\u53d6\u5f97\u306f\u4ee5\u4e0b\u306e\u4f8b\u3092\u53c2\u7167\u3002</p>"},{"location":"blog/how-to-use-alembic/#xform","title":"Xform","text":"<p>\u5909\u5f62\u3092\u7ba1\u7406\u3059\u308b\u30b9\u30ad\u30fc\u30de\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3002 \u5b50\u306b\u5909\u5f62\u3055\u305b\u308b<code>PolyMesh</code>\u3084\u81ea\u8eab\u3092\u6301\u3064\u3002 <code>Xform</code>\u304c\u89aa\u5b50\u3067\u3042\u308b\u5834\u5408\u3001\u89aa\u304c\u5909\u5f62\u3055\u305b\u305f\u5f8c\u306b\u5b50\u4f9b\u304c\u5909\u5f62\u3055\u305b\u308b(\u30c6\u30b9\u30c8\u3092\u898b\u308b\u9650\u308a\u3001\u3053\u306e\u5909\u5f62\u3057\u304b\u898b\u5f53\u305f\u3089\u306a\u304b\u3063\u305f)\u3002 \u5909\u5f62\u306e\u9806\u5e8f\u306f<code>getInheritsXforms</code>\u95a2\u6570\u3067\u5224\u5b9a\u3067\u304d\u308b\u3002</p>"},{"location":"blog/how-to-use-alembic/#xformschema","title":"XformSchema","text":"<p><code>Xform</code>\u306e\u30b9\u30ad\u30fc\u30de\u3067\u3001<code>Xform</code>\u30af\u30e9\u30b9\u306e<code>getSchema</code>\u30e1\u30f3\u30d0\u95a2\u6570\u3067\u53d6\u5f97\u3067\u304d\u308b\u3002</p>"},{"location":"blog/how-to-use-alembic/#xformsample","title":"XformSample","text":"<p><code>XformSchema</code>\u30af\u30e9\u30b9\u306e<code>getValue</code>\u30e1\u30f3\u30d0\u95a2\u6570\u3067<code>XformSample</code>\u3092\u53d6\u5f97\u3067\u304d\u308b\u3002 <code>XformSample</code>\u306f<code>XformOp</code>\u306e\u30ea\u30b9\u30c8\u3092\u6301\u3064\u3002 <code>getNumOps</code>\u30e1\u30f3\u30d0\u95a2\u6570\u3067\u7dcf\u6570\u3092\u53d6\u5f97\u3057\u3001<code>operator[]</code>\u30e1\u30f3\u30d0\u95a2\u6570\u3067\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u53d6\u5f97\u3059\u308b\u3002</p> <p>\u76f4\u306b\u5024\u3092\u53d6\u5f97\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u308b\u304c\u3001\u64cd\u4f5c\u304c\u8ffd\u52a0\u3055\u308c\u305f\u9806\u306b\u53d6\u308a\u51fa\u3055\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\u305f\u3081\u3001\u7528\u5fc3\u3057\u3066\u4f7f\u3046\u4e8b\u3002</p> <p><code>getNumOpChannels</code>\u30e1\u30f3\u30d0\u95a2\u6570\u3067\u81ea\u8eab\u304c\u6301\u3064<code>XformOp</code>\u306e<code>channel</code>\u306e\u7dcf\u6570\u304c\u308f\u304b\u308b\u3002</p>"},{"location":"blog/how-to-use-alembic/#xformop","title":"XformOp","text":"<p><code>XformOp</code>\u306f\u5e73\u884c\u79fb\u52d5\u3001\u56de\u8ee2\u3001\u62e1\u5927\u7e2e\u5c0f\u3001\u7dda\u5f62\u5909\u63db\u3092\u8868\u3059\u3002 \u64cd\u4f5c\u306e\u7a2e\u985e\u306f<code>getType</code>\u30e1\u30f3\u30d0\u95a2\u6570\u3067\u5224\u5b9a\u3067\u304d\u308b\u3002 \u5217\u6319\u5024\u3068\u610f\u5473\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002</p> XformOperationType \u610f\u5473 kScaleOperation \u62e1\u5927\u7e2e\u5c0f kTranslateOperation \u5e73\u884c\u79fb\u52d5 kRotateOperation \u56de\u8ee2 kMatrixOperation \u884c\u5217 kRotateXOperation x\u8ef8\u56de\u8ee2 kRotateYOperation y\u8ef8\u56de\u8ee2 kRotateZOperation z\u8ef8\u56de\u8ee2 <p><code>XformOp</code>\u306f<code>channel</code>\u3068\u3044\u3046<code>double</code>\u306e\u30ea\u30b9\u30c8\u3092\u6301\u3061\u3001\u5404\u64cd\u4f5c\u3092\u8868\u73fe\u3059\u308b\u305f\u3081\u306b\u4f7f\u308f\u308c\u308b\u3002 \u5404\u64cd\u4f5c\u306e<code>channel</code>\u6570\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002</p> \u64cd\u4f5c <code>channel</code>\u6570 \u5e73\u884c\u79fb\u52d5\u3068\u62e1\u5927\u7e2e\u5c0f 3 \u56de\u8ee2 4 \u884c\u5217 16 \u8ef8\u56de\u8ee2 1 <p>\u884c\u5217\u306f\u884c\u512a\u5148\u3067\u683c\u7d0d\u3055\u308c\u308b\u3002</p>"},{"location":"blog/how-to-use-alembic/#_7","title":"\u4f7f\u7528\u4f8b","text":""},{"location":"blog/how-to-use-alembic/#_8","title":"\u30dd\u30ea\u30b4\u30f3\u30e1\u30c3\u30b7\u30e5\u306e\u66f8\u304d\u8fbc\u307f","text":"<p>\u5404\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u306b\u306f\u3001\u305d\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u304c\u516c\u958b\u3057\u3066\u3044\u308b\u5168\u3066\u3092\u30a4\u30f3\u30af\u30eb\u30fc\u30c9\u3057\u305f<code>All.h</code>\u3068\u3044\u3046\u540d\u524d\u306e\u30d8\u30c3\u30c0\u30fc\u304c\u3042\u308b\u3002 \u306a\u306e\u3067\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u30a4\u30f3\u30af\u30eb\u30fc\u30c9\u3059\u308c\u3070\u3088\u3044\u3002</p> <pre><code>// Alembic Includes\n#include &lt;Alembic/AbcGeom/All.h&gt;\n#include &lt;Alembic/AbcCoreOgawa/All.h&gt;\n</code></pre> <p>\u6b21\u306b<code>Archive</code>\u3092\u4f5c\u308a\u3001\u305d\u306e<code>Archive</code>\u306e\u5b50\u4f9b\u3068\u3057\u3066\u3001\u9759\u7684\u306a\u30dd\u30ea\u30b4\u30f3\u30e1\u30c3\u30b7\u30e5\u3092\u6301\u3064\u30a2\u30cb\u30e1\u30fc\u30b7\u30e7\u30f3\u3092\u8ffd\u52a0\u3057\u3088\u3046\u3002 <pre><code>// \u30e1\u30bf\u30c7\u30fc\u30bf\u306e\u4f5c\u6210\nauto abc_metadata = Alembic::Abc::MetaData();\n// \u540d\u524d\u3092\"PolyMesh\"\u306b\u3059\u308b\u3002\nabc_metadata.set(Alembic::Abc::kUserDescriptionKey, \"PolyMesh\");\n\nauto archive_writer = Alembic::AbcCoreOgawa::WriteArchive();\nauto writer_ptr = archive_writer(\"polyMesh1.abc\", abc_metadata);\n// polyMesh1.abc\u3078\u66f8\u304d\u8fbc\u3081\u308barchive\u3092\u4f5c\u6210\nauto archive = Alembic::Abc::OArchive(writer_ptr);\n</code></pre></p> <p>\u7acb\u65b9\u4f53[-1, 1] x [-1, 1] x [-1, 1]\u306ePolyMesh Object\u3092\u4f5c\u6210\u3059\u308b\u3002\"meshy\"\u306f<code>meshyObj</code>\u306e\u540d\u524d\u3002 <pre><code>auto abc_top = archive.getTop();\nauto meshyObj = OPolyMesh(abc_top, \"meshy\");\n</code></pre></p> <p>UV\u3068\u6cd5\u7dda\u306eSample\u3092\u4f5c\u6210\u3059\u308b\u3002 \u305d\u306e\u524d\u306b\u3001UV\u306e\u540d\u524d\u306fSample\u306b\u5165\u308c\u308b\u524d\u306b\u4ed8\u3051\u308b\u5fc5\u8981\u304c\u3042\u308b\u3002 <pre><code>auto&amp; mesh = meshyObj.getSchema();\nmesh.setUVSourceName(\"test\");\n</code></pre></p> <p>UV\u3068\u6cd5\u7dda\u306f<code>GeomParams</code>\u3092\u4f7f\u3046\u3002 <code>GeomParams</code>\u306f\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u304c\u3042\u3063\u3066\u3082\u306a\u304f\u3066\u3082\u8aad\u307f\u66f8\u304d\u3067\u304d\u308b\u3002 <code>kFacevaryingScope</code>\u306b\u3064\u3044\u3066\u306f\u3001\u53c2\u8003\u6587\u732e\u306e3\u30014\u3092\u53c2\u8003\u3002 <pre><code>// \u7acb\u65b9\u4f53\u306e\u9802\u70b9\u306eUV\u3002\n// UV\u306e\u5024\u306f\u6307\u5b9a\u3057\u305f\u9762\u3092\u69cb\u6210\u3059\u308b\u9802\u70b9\u306e\u9806\u306b\u3001\u5404\u9762\u306e\u5404\u9802\u70b9\u306e\u5024\u3092\u5217\u6319\u3059\u308b\u3002\nextern const size_t g_numUVs;\nextern const Abc::float32_t g_uvs[];\nauto uvsamp = OV2fGeomParam::Sample(\n    V2fArraySample((const V2f *)g_uvs, g_numUVs), // reinterpret_cast\u3092\u4f7f\u3046\u3079\u304d\n    kFacevaryingScope\n);\n// \u7acb\u65b9\u4f53\u306e\u9802\u70b9\u306e\u6cd5\u7dda\n// \u6cd5\u7dda\u306e\u5024\u306f\u6307\u5b9a\u3057\u305f\u9762\u3092\u69cb\u6210\u3059\u308b\u9802\u70b9\u306e\u9806\u306b\u3001\u5404\u9762\u306e\u5404\u9802\u70b9\u306e\u5024\u3092\u5217\u6319\u3059\u308b\u3002\n// \u3053\u308c\u306f\u57fa\u672c\u7684\u306b\u306fRenderMan\u306e\"facevarying\"\u306e\u578b\u306b\u5408\u3046\u30b9\u30c8\u30ec\u30fc\u30b8\u3067\u3042\u308b\u3002\nextern const size_t g_numNormals;\nextern const Abc::float32_t g_normals[];\nauto nsamp = ON3fGeomParam::Sample(\n    N3fArraySample((const N3f *)g_normals, g_numNormals),\n    kFacevaryingScope\n);\n</code></pre></p> <p>\u30e1\u30c3\u30b7\u30e5\u306eSample\u3092\u8a2d\u5b9a\u3059\u308b\u3002 \u5f15\u6570\u306f\u5148\u982d\u304b\u3089\u9806\u306b\u3001\u9802\u70b9\u306e\u5ea7\u6a19\u3068\u9802\u70b9\u306e\u6570\u3001\u9762\u3092\u69cb\u6210\u3059\u308b\u9802\u70b9\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30ea\u30b9\u30c8\u3068\u305d\u306e\u30ea\u30b9\u30c8\u306e\u30b5\u30a4\u30ba\u3001\u9762\u3092\u69cb\u6210\u3059\u308b\u9802\u70b9\u306e\u6570\u306e\u30ea\u30b9\u30c8\u3068\u305d\u306e\u30ea\u30b9\u30c8\u306e\u30b5\u30a4\u30ba\u3067\u3042\u308b\u3002 \u901f\u5ea6\u306f<code>OPolyMeshSchema::Sample</code>\u306e<code>setVelocityies</code>\u30e1\u30f3\u30d0\u95a2\u6570\u3067\u8a2d\u5b9a\u3059\u308b\u3002 <pre><code>auto mesh_samp = OPolyMeshSchema::Sample(\n    V3fArraySample((const V3f *)g_verts, g_numVerts),\n    Int32ArraySample(g_indices, g_numIndices),\n    Int32ArraySample(g_counts, g_numCounts),\n    uvsamp,\n    nsamp\n);\nmesh.set(mesh_samp);\n</code></pre></p> <p>Alembic\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306f\u30b9\u30b3\u30fc\u30d7\u304b\u3089\u51fa\u308b\u3068\u304d\u306b\u81ea\u52d5\u7684\u306b\u7834\u68c4\u3055\u308c\u308b\u3002 \u306a\u306e\u3067\u3001\u7279\u306b\u4f55\u3082\u3057\u306a\u304f\u3066\u826f\u3044\u3002</p> <p>\u30d7\u30ed\u30b0\u30e9\u30e0\u5168\u4f53\u306f\u53c2\u8003\u6587\u732e\u306e2\u306b\u3042\u308b\u3002</p>"},{"location":"blog/how-to-use-alembic/#_9","title":"\u30dd\u30ea\u30b4\u30f3\u30e1\u30c3\u30b7\u30e5\u306e\u8aad\u307f\u8fbc\u307f","text":"<p>\u30a4\u30f3\u30af\u30eb\u30fc\u30c9\u3059\u308b\u30d8\u30c3\u30c0\u30fc\u3068\u540d\u524d\u7a7a\u9593\u306f\u524d\u4f8b\u3092\u53c2\u7167\u3002</p> <p>\u8aad\u307f\u8fbc\u307f\u7528\u30a2\u30fc\u30ab\u30a4\u30d6\u3092\u4f5c\u6210\u3059\u308b\u3002 <pre><code>auto archive_reader = Alembic::AbcCoreOgawa::ReadArchive();\nauto reader_ptr = archive_reader(\"polyMesh1.abc\");\nauto archive = Alembic::Abc::IArchive(reader_ptr);\n</code></pre></p> <p>UV, \u6cd5\u7dda\u3092\u53d6\u5f97\u3059\u308b\u3002 <pre><code>auto meshyObj         = IPolyMesh(archive.getTop(), \"meshy\");\nIPolyMeshSchema&amp; mesh = meshyObj.getSchema();\nauto N                = mesh.getNormalsParam();\nauto uv               = mesh.getUVsParam();\n</code></pre></p> <p>\u9802\u70b9\u306e\u5ea7\u6a19\u306e\u30ea\u30b9\u30c8\u3001\u9762\u3092\u69cb\u6210\u3059\u308b\u9802\u70b9\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30ea\u30b9\u30c8\u3001\u9762\u3092\u69cb\u6210\u3059\u308b\u9802\u70b9\u306e\u6570\u306e\u30ea\u30b9\u30c8\u3001AABB\u3001\u3082\u3057\u3042\u308c\u3070\u901f\u5ea6\u306e\u30ea\u30b9\u30c8\u3092\u53d6\u5f97\u3059\u308b\u3002 <pre><code>IPolyMeshSchema::Sample mesh_samp;\nmesh.get(mesh_samp);\n</code></pre></p> <p>\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3067\u3001\u6cd5\u7dda\u306e\u30ea\u30b9\u30c8\u306e\u30dd\u30a4\u30f3\u30bf\u30fc(\u6b63\u78ba\u306b\u306f<code>N3fArraySamplePtr</code>)\u3092\u53d6\u5f97\u3067\u304d\u308b\u3002 <pre><code>auto nsp = N.getExpandedValue().getVals();\n</code></pre></p> <p>\u5404\u6cd5\u7dda\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u3057\u3066\u53d6\u5f97\u3067\u304d\u308b\u3002 <pre><code>for ( size_t i = 0 ; i &lt; nsp-&gt;size() ; ++i )\n{\n    std::cout &lt;&lt; i &lt;&lt; \"th normal: \" &lt;&lt; (*nsp)[i] &lt;&lt; std::endl;\n}\n</code></pre></p> <p>\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u4ed8\u3051\u305f\u3044\u3068\u304d\u306f\u3001<code>getExpandedValue</code>\u306e\u4ee3\u308f\u308a\u306b<code>getIndexedValue</code>\u3092\u4f7f\u3046\u3002 <pre><code>auto uvsamp = uv.getIndexedValue();\n</code></pre></p> <p>\u5024\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u53d6\u5f97\u3059\u308b\u3002 <pre><code>V2f uv2 = (*(uvsamp.getVals()))[2];\nTESTING_ASSERT( uv2 == V2f( 1.0f, 1.0f ) );\n</code></pre></p> <p>\u9802\u70b9\u306e\u30ea\u30b9\u30c8\u306e\u30b5\u30a4\u30ba\u306f\u4ee5\u4e0b\u3067\u53d6\u5f97\u3067\u304d\u308b\u3002 <pre><code>mesh_samp.getPositions()-&gt;size();\n</code></pre></p> <p>\u6700\u521d\u306e\u9802\u70b9\u306e\u5ea7\u6a19\u306f\u4ee5\u4e0b\u3067\u53d6\u5f97\u3067\u304d\u308b\u3002 <pre><code>(*(mesh_samp.getPositions()))[0];\n</code></pre></p> <p>\u53d6\u5f97\u3059\u308b\u3060\u3051\u306a\u3089\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u7c21\u6f54\u306b\u66f8\u3051\u308b\u3002 <pre><code>mesh_samp.getPositions()-&gt;get()[0];\n</code></pre></p>"},{"location":"blog/how-to-use-alembic/#_10","title":"\u53c2\u8003\u6587\u732e","text":"<ol> <li>Introduction \u2014 Alembic 1.7.0 documentation</li> <li>alembic/lib/Alembic/AbcGeom/Tests/PolyMeshTest.cpp</li> <li>alembic/lib/Alembic/AbcGeom/Foundation.h</li> <li>alembic/lib/Alembic/AbcGeom/GeometryScope.h</li> <li>Geometric Primitives</li> <li>Alembic/AbcGeom/GeometryScope.h</li> </ol>"},{"location":"blog/memo/","title":"\u30e1\u30e2","text":"<p>\u5c0f\u30cd\u30bf\u96c6\u3067\u3059\u3002</p>"},{"location":"blog/memo/#blenderalembic","title":"Blender\u3067Alembic\u3092\u51fa\u529b\u3057\u305f\u5834\u5408","text":"<ul> <li>\u901f\u5ea6\u306f\u51fa\u529b\u3055\u308c\u306a\u3044</li> <li>\u525b\u4f53\u904b\u52d5\u306fXformSample\u306b\u8a18\u9332\u3055\u308c\u308b</li> <li>\u30bd\u30d5\u30c8\u30dc\u30c7\u30a3\u306e\u904b\u52d5\u306fXformSample\u306b\u8a18\u9332\u3055\u308c\u306a\u3044</li> <li>\u30bd\u30d5\u30c8\u30dc\u30c7\u30a3\u3068\u525b\u4f53\u304c\u3042\u308b\u6642\u3001\u4f8b\u3048\u525b\u4f53\u3067\u3042\u3063\u3066\u3082\u5404\u30d5\u30ec\u30fc\u30e0\u3054\u3068\u306e\u30dd\u30ea\u30b4\u30f3\u30e1\u30c3\u30b7\u30e5\u306e\u60c5\u5831(\u70b9\u3001\u6cd5\u7dda\u3001\u9762)\u304c\u51fa\u529b\u3055\u308c\u308b\u3002</li> </ul>"},{"location":"blog/memo/#thrust","title":"Thrust","text":"<ul> <li>oneTBB\u3092\u30c7\u30d0\u30a4\u30b9\u3068\u3057\u3066\u4f7f\u3046\u5834\u5408\u3001\u30b3\u30f3\u30d1\u30a4\u30eb\u30aa\u30d7\u30b7\u30e7\u30f3<code>-expt-extended-lambda</code>\u3092nvcc\u306b\u6e21\u3057\u3066\u3082\u30e9\u30e0\u30c0\u5f0f\u3092\u30c7\u30d0\u30a4\u30b9\u30b3\u30fc\u30c9\u3067\u4f7f\u3046\u3053\u3068\u306f\u3067\u304d\u306a\u3044\u3002</li> <li>\u5165\u308c\u5b50\u306b\u306a\u3063\u305f<code>host_vector</code>\u3068<code>device_vector</code>\u306f\u304a\u4e92\u3044\u306b\u30b3\u30d4\u30fc\u3067\u304d\u306a\u3044(\u30b3\u30f3\u30d1\u30a4\u30eb\u30a8\u30e9\u30fc\u306b\u306a\u308b)\u3002</li> </ul>"},{"location":"blog/memo/#c","title":"C++","text":"<ul> <li>C++\u6a19\u6e96async+future\u3068\u30b9\u30ec\u30c3\u30c9\u30d7\u30fc\u30eb\u306e\u6027\u80fd\u6bd4\u8f03</li> <li>\u30e6\u30fc\u30b6\u30fc\u5b9a\u7fa9\u3068default\u5ba3\u8a00\u3067\u5b9a\u7fa9\u3055\u308c\u305f\u30b3\u30d4\u30fc\u30b3\u30f3\u30b9\u30c8\u30e9\u30af\u30bf\u3092\u30de\u30af\u30ed\u3067\u5207\u308a\u66ff\u3048\u308b\u3053\u3068\u306f\u3067\u304d\u306a\u3044\u3002</li> <li><code>struct A final {}</code>\u306f\u5408\u6cd5\u3002</li> <li>\u30e9\u30e0\u30c0\u95a2\u6570\u306f\u9759\u7684\u306a\u5909\u6570\u3092\u81ea\u52d5\u7684\u306b\u30ad\u30e3\u30d7\u30c1\u30e3\u3059\u308b\u3002</li> <li>\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u518d\u5e30\u7684\u306a\u69cb\u9020\u4f53\u306f\u5408\u6cd5\u3002 <pre><code>template &lt;int D&gt;\nstruct A\n{\n    static_assert(D &gt; 1);\n\n    double d;\n    A&lt;D-1&gt; a;\n};\n\ntemplate &lt;&gt;\nstruct A&lt;1&gt;\n{\n    int d;\n};\n</code></pre></li> <li>\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u30af\u30e9\u30b9\u306e\u9759\u7684\u306a\u30e1\u30f3\u30d0\u5b9a\u6570\u306f<code>inline</code>\u306b\u3059\u308b\u3068\u660e\u793a\u7684\u306b\u5b9f\u4f53\u3092\u5b9a\u7fa9\u305b\u305a\u306b\u6e08\u3080\u3002</li> <li>\u30e1\u30f3\u30d0\u5909\u6570\u306b<code>const</code>\u3092\u4ed8\u3051\u308b\u3068<code>default</code>\u5ba3\u8a00\u3055\u308c\u305f\u30e0\u30fc\u30d6\u4ee3\u5165\u6f14\u7b97\u5b50\u304c\u524a\u9664\u3055\u308c\u308b\u3002</li> </ul>"},{"location":"blog/memo/#boost","title":"Boost","text":"<ul> <li>Boost.Test\u3092CMake\u306e<code>find_package</code>\u3067\u898b\u3064\u3051\u305f\u3044\u6642\u306f\u3001<code>components</code>\u306b<code>unit_test_framework</code>\u3092\u6307\u5b9a\u3057\u306a\u3044\u3068\u3044\u3051\u306a\u3044\u3002</li> </ul>"},{"location":"blog/memo/#git","title":"Git","text":"<ul> <li>git push --force-with-lease</li> <li><code>git rm</code>\u3067\u30b5\u30d6\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u6d88\u305b\u308b\u3002</li> <li>fast-forward\u3067\u306e\u30de\u30fc\u30b8\u3092\u53d6\u308a\u6d88\u3057\u305f\u3044\u6642\u306f\u3001<code>git reflog --keep (\u30d6\u30e9\u30f3\u30c1\u540d)@{\u756a\u53f7}</code>\u3068\u3059\u308c\u3070\u826f\u3044\u3002</li> <li>\u6700\u65b0\u306e\u30b3\u30df\u30c3\u30c8\u3057\u304b\u8981\u3089\u306a\u3044\u30ea\u30dd\u30b8\u30c8\u30ea\u3092\u30af\u30ed\u30fc\u30f3\u3057\u305f\u3044\u6642\u3001<code>--depth 1</code>\u3092\u3064\u3051\u308c\u3070\u826f\u3044\u3002</li> <li>\u8ffd\u8de1\u3057\u3066\u3044\u306a\u3044\u30d5\u30a1\u30a4\u30eb\u3092\u6d88\u3057\u305f\u3044\u6642\u306f<code>git clean</code>\u3002</li> <li>\u8ffd\u8de1\u3057\u3066\u3044\u308b\u30d5\u30a1\u30a4\u30eb\u3092\u5168\u3066\u30b9\u30c6\u30fc\u30b8\u30f3\u30b0\u3057\u305f\u3044\u6642\u306f<code>git add -u</code>\u3002</li> </ul>"},{"location":"blog/memo/#petc","title":"PETc","text":""},{"location":"blog/memo/#petscc","title":"PETSc\u306eC++\u306e\u6a5f\u80fd\u3092\u4f7f\u3046\u306b\u306f","text":"<p>PETSc\u306b\u306f<code>PetscCallThrow</code>\u3068\u3044\u3046\u3001\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3059\u308b\u3068<code>std::runtime_error</code>\u3092\u6295\u3052\u308b\u95a2\u6570\u304c\u3042\u308b\u3002 \u3053\u306e\u95a2\u6570\u306f<code>PETSC_CLANGUAGE_CXX</code>\u3068\u3044\u3046\u30de\u30af\u30ed\u304c\u5b9a\u7fa9\u3055\u308c\u3066\u3044\u306a\u3044\u3068\u4f7f\u3048\u306a\u3044\u3002 \u4ed6\u306b\u3082C++\u7528\u306e\u95a2\u6570\u304c\u3042\u308b\u304b\u3082\u3057\u308c\u306a\u3044\u306e\u3067\u5b9a\u7fa9\u3059\u308b\u3053\u3068\u3092\u304a\u52e7\u3081\u3059\u308b\u3002 \u3061\u306a\u307f\u306b\u3001\u30d8\u30c3\u30c0\u30fc\u3092\u30a4\u30f3\u30af\u30eb\u30fc\u30c9\u3059\u308b\u6642\u306f<code>extern \"C\"</code>\u3092\u3064\u3051\u306a\u3044\u3002</p>"},{"location":"blog/memo/#petscconfigure","title":"PETSc\u306econfigure\u306e\u5b9f\u884c\u30aa\u30d7\u30b7\u30e7\u30f3","text":"<p>\u516c\u5f0f\u30b5\u30a4\u30c8\u306b\u7528\u9014\u306b\u5fdc\u3058\u3066\u4f7f\u3046\u30aa\u30d7\u30b7\u30e7\u30f3\u304c\u793a\u3055\u308c\u3066\u3044\u308b\u304c\u3001\u3069\u3093\u306a\u30aa\u30d7\u30b7\u30e7\u30f3\u304c\u3042\u308b\u306e\u304b\u793a\u3055\u308c\u3066\u3044\u306a\u3044\u3002 \u3069\u3093\u306a\u30aa\u30d7\u30b7\u30e7\u30f3\u304c\u3042\u308b\u306e\u304b\u8abf\u3079\u308b\u305f\u3081\u306e\u4e00\u756a\u624b\u3063\u53d6\u308a\u65e9\u3044\u65b9\u6cd5\u306f\u3001CI\u306e\u30c6\u30b9\u30c8\u3092\u898b\u308b\u3053\u3068\u3067\u3042\u308b\u3002 \u5730\u9053\u306a\u65b9\u6cd5\u306f\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u3092\u898b\u308b\u3053\u3068\u3060\u304c\u3001<code>BuildSystem</code>\u304c\u3042\u307e\u308a\u306b\u8907\u96d1\u306a\u306e\u3067\u6642\u9593\u304c\u304b\u304b\u308b\u3060\u308d\u3046\u3002 \u500b\u4eba\u7684\u306b\u306fpackage\u3092\u898b\u308b\u3068\u3001\u30e9\u30a4\u30d6\u30e9\u30ea\u6bce\u306e\u30aa\u30d7\u30b7\u30e7\u30f3\u304c\u3069\u3046\u3044\u3046\u98a8\u306b\u4f7f\u308f\u308c\u3066\u3044\u308b\u304b\u308f\u304b\u308b\u306e\u3067\u3001\u3053\u3053\u3092\u898b\u308b\u3053\u3068\u3092\u304a\u52e7\u3081\u3059\u308b\u3002</p>"},{"location":"blog/memo/#_2","title":"\u53c2\u8003","text":"<ol> <li>Thrust 1.9.4 \u30ea\u30ea\u30fc\u30b9\u30ce\u30fc\u30c8</li> <li>Predefined Node Types (oneTBB Documentation)</li> <li>Undo git fast forward merge</li> <li>\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u5909\u6570\u304c\u30e9\u30e0\u30c0\u95a2\u6570\u306b\u30ad\u30e3\u30d7\u30c1\u30e3\u3055\u308c\u308b\u3053\u3068\u306b\u3088\u308b\u30a8\u30e9\u30fc\u306e\u4f8b</li> <li>\u518d\u5e30\u7684\u306a\u69cb\u9020\u4f53\u306e\u4f8b</li> </ol>"},{"location":"blog/thrust-async/","title":"Thrust\u306e\u975e\u540c\u671f\u5b9f\u884c","text":"<p>Thrust\u306e\u975e\u540c\u671f\u5b9f\u884c\u306b\u3064\u3044\u3066\u3067\u3059\u304c\u3001\u65e5\u672c\u8a9e\u306e\u6587\u732e\u304c\u300ethrust\u306basync\u30b5\u30dd\u30fc\u30c8\u304c\u5165\u3063\u3066\u3044\u305f\u300f\u304f\u3089\u3044\u3057\u304b\u898b\u5f53\u305f\u3089\u306a\u304b\u3063\u305f\u306e\u3067\u3001\u5177\u4f53\u4f8b\u3092\u4ea4\u3048\u306a\u304c\u3089\u74b0\u5883\u69cb\u7bc9\u304b\u3089\u89e3\u8aac\u3057\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002</p>"},{"location":"blog/thrust-async/#_1","title":"\u74b0\u5883\u69cb\u7bc9","text":"<p>CMake\u3092\u4f7f\u3046\u3084\u308a\u65b9\u3092\u3054\u7d39\u4ecb\u3057\u307e\u3059\u3002 Windows\u3067\u306f\u8a66\u3057\u3066\u3044\u306a\u3044\u305f\u3081\u3001\u3054\u4e86\u627f\u4e0b\u3055\u3044\u3002</p> <p>\u4ee5\u4e0b\u306e\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u304f\u3060\u3055\u3044\u3002</p> <ul> <li>CUDA &gt;= 12.3</li> <li>CMake &gt;= 3.27.7</li> <li>GCC &gt;= 5.1 \u307e\u305f\u306f Clang &gt;= 3.4</li> </ul> <p>Git\u3082\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3092\u304a\u52e7\u3081\u3057\u307e\u3059\u304c\u3001\u306a\u304f\u3066\u3082\u554f\u984c\u3042\u308a\u307e\u305b\u3093\u3002</p>"},{"location":"blog/thrust-async/#thrust_1","title":"Thrust\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9","text":"<p>Thrust\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u307e\u3059\u3002 1.9.4\u4ee5\u4e0a\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u9078\u3093\u3067\u4e0b\u3055\u3044\u3002 Git\u3092\u4f7f\u3046\u65b9\u306f\u518d\u5e30\u7684\u306b\u30b5\u30d6\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u30af\u30ed\u30fc\u30f3\u3057\u3066\u304f\u3060\u3055\u3044\u3002</p> <p>\u306a\u305c\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3059\u308b\u304b\u3068\u3044\u3046\u3068\u3001CMake\u304cThrust\u3092\u898b\u3064\u3051\u3066\u304f\u308c\u306a\u304b\u3063\u305f\u305f\u3081\u3067\u3059\u3002 \u898b\u3064\u3051\u65b9\u3092\u3054\u5b58\u3058\u306e\u65b9\u306f\u6559\u3048\u3066\u3044\u305f\u3060\u3051\u308b\u3068\u5e78\u3044\u3067\u3059\u3002</p>"},{"location":"blog/thrust-async/#cmake","title":"CMake\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u4f5c\u6210","text":"<p>\u4f8b\u3068\u3057\u3066\u3001<code>float</code>\u3068<code>int</code>\u306e\u914d\u5217\u3092\u4f5c\u6210\u3057\u3001GPU\u3067\u5404\u8981\u7d20\u306e2\u4e57\u3092\u8a08\u7b97\u3057\u3001\u7d50\u679c\u304c\u6b63\u3057\u3044\u304b\u78ba\u8a8d\u3059\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002 \u4ee5\u4e0b\u306e\u3088\u3046\u306bCMake\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002</p> <pre><code>hoge/-- CMakeLists.txt\n     |- double.cu\n     |- double.h\n     |- main.cpp\n     |- thrust/\n</code></pre> <p>CMakeLists.txt\u306b\u4ee5\u4e0b\u3092\u66f8\u304d\u307e\u3059\u3002</p> CMakeLists.txt<pre><code>cmake_minimum_required(VERSION 3.27.7)\n\n# CUDA\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3092\u6307\u5b9a\u3059\u308b\u3002\n# \u6700\u521d\u306b\u8a2d\u5b9a\u3057\u306a\u3044\u3068\u3001\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u304c\u4f5c\u6210\u3067\u304d\u307e\u305b\u3093\u3002\nif(NOT DEFINED CMAKE_CUDA_ARCHITECTURES)\n  set(CMAKE_CUDA_ARCHITECTURES native)\nendif()\n\nproject(my_program VERSION 0.1.0 LANGUAGES CXX CUDA)\n\n# \u3053\u3053\u306e\u8a2d\u5b9a\u306f\u304a\u597d\u307f\u3067\u3002\nset(CMAKE_CXX_EXTENSIONS OFF)\nset(CMAKE_OPTIMIZE_DEPENDENCIES ON)\n\n# CUDA\u3092\u898b\u3064\u3051\u308b\u3002\nfind_package(CUDAToolkit 12 REQUIRED)\n\n# Thrust\u3092\u898b\u3064\u3051\u308b\u3002\nadd_subdirectory(thrust)\nfind_package(Thrust REQUIRED CONFIG)\nthrust_create_target(Thrust)\n\n# CUDA\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f5c\u308b\u3002\nadd_library(double double.cu)\ntarget_compile_options(\n  double\n  PRIVATE\n    # C++14\u4ee5\u4e0a\u304c\u5fc5\u8981\n    cxx_std_14\n    # \u30e9\u30e0\u30c0\u5f0f\u3092\u30c7\u30d0\u30a4\u30b9\u30b3\u30fc\u30c9\u3067\u4f7f\u3048\u308b\u3088\u3046\u306b\u3059\u308b\u3002\n    -expt-extended-lambda\n    # SIMD\u3092\u7121\u52b9\u306b\u3059\u308b\u3002\n    # SIMD\u306e\u7121\u52b9\u5316\u306f\u5fc5\u9808\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u304c\u3001Eigen\u306a\u3069\u7dda\u5f62\u4ee3\u6570\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u3046\u969b\u306b\u5fc5\u8981\u306b\u306a\u308a\u307e\u3059\u3002\n    \"$&lt;$&lt;COMPILE_LANG_AND_ID:CXX,GNU&gt;:-fno-tree-vectorize&gt;\"\n    \"$&lt;$&lt;COMPILE_LANG_AND_ID:CXX,Clang&gt;:-fno-vectorize&gt;\"\n)\n# \u3053\u3053\u306f\u304a\u597d\u307f\u3067\u3002\ntarget_compile_features(\n  double\n  PRIVATE\n    cuda_std_20\n)\n# \u8ab0\u3082\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u306a\u3044\u306f\u305a\u306a\u306e\u3067\u3001\u7c21\u7565\u306b\u3002\ntarget_include_directories(\n  double\n  PUBLIC \n    ${CMAKE_CURRENT_SOURCE_DIR}\n)\n# CUDA\u30e9\u30f3\u30bf\u30a4\u30e0\u3068Thrust\u3092\u30ea\u30f3\u30af\u3059\u308b\u3002\n# \u5f53\u305f\u308a\u524d\u3067\u3059\u304c\u3001Thrust\u306b\u306fCUDA\u306f\u306a\u3044\u306e\u3067\u3002\ntarget_link_libraries(\n  double\n  PUBLIC\n    CUDA::cudart\n    Thrust\n)\n\n# my_program\u3092\u4f5c\u308b\u3002\nadd_executable(my_program main.cpp)\ntarget_link_libraries(\n  my_program\n  PRIVATE\n    double\n)\n# \u3053\u3053\u306f\u304a\u597d\u307f\u3067\u3002\ntarget_compile_features(\n  my_program\n  PRIVATE\n    cxx_std_20\n)\n# \u3053\u3053\u306f\u304a\u597d\u307f\u3067\u3002\ntarget_compile_options(\n  my_program\n  PRIVATE\n    \"$&lt;$&lt;CONFIG:Debug&gt;:-g;-O0;-Wall;-Wextra&gt;\"\n    \"$&lt;$&lt;CONFIG:Release&gt;:-DNDEBUG;-O3;-march=native;-mtune=native&gt;\"\n)\n# CUDA 5.0\u4ee5\u524d\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3067\u306f\u3001\u30c7\u30d0\u30a4\u30b9\u30b3\u30fc\u30c9\u3067\u4f7f\u7528\u3059\u308b\u95a2\u6570\u306e\u5b9f\u88c5\u307e\u3067\u30a4\u30f3\u30af\u30eb\u30fc\u30c9\u3059\u308b\u5fc5\u8981\u304c\n# \u3042\u308a\u307e\u3057\u305f\u304c\u3001CUDA 5.0\u4ee5\u964d\u3067\u306f\u3001\u30c7\u30d0\u30a4\u30b9\u30b3\u30fc\u30c9\u3067\u4f7f\u7528\u3059\u308b\u95a2\u6570\u306e\u5ba3\u8a00\u306e\u307f\u3092\u30a4\u30f3\u30af\u30eb\u30fc\u30c9\u3059\u308b\u3060\u3051\u3067\n# \u5341\u5206\u306b\u306a\u308a\u307e\u3057\u305f\u3002\n# \u3053\u306e\u3053\u3068\u3092\u30b3\u30f3\u30d1\u30a4\u30e9\u3068\u30ea\u30f3\u30ab\u30fc\u306b\u4f1d\u3048\u308b\u305f\u3081\u306b\u3001CUDA_SEPARABLE_COMPILATION\u30d7\u30ed\u30d1\u30c6\u30a3\u3092ON\u306b\n# \u3057\u3066\u3044\u307e\u3059\u3002\n# \u305f\u3060\u3057\u3001\u3053\u306e\u30d7\u30ed\u30d1\u30c6\u30a3\u306f\u5b9f\u884c\u30d5\u30a1\u30a4\u30eb\u306b\u306e\u307fON\u306b\u8a2d\u5b9a\u3057\u3066\u4e0b\u3055\u3044\u3002\n# \u8a73\u3057\u304f\u306f\u53c2\u8003\u6587\u732e1\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002\nset_property(TARGET my_program PROPERTY CUDA_SEPARABLE_COMPILATION ON)\n</code></pre>"},{"location":"blog/thrust-async/#thrust_2","title":"Thrust\u306e\u975e\u540c\u671f\u5b9f\u884c\u306e\u66f8\u304d\u65b9","text":"<p>\u3044\u3088\u3044\u3088\u672c\u984c\u3067\u3059\u3002</p>"},{"location":"blog/thrust-async/#eventfuture","title":"event\u3068future","text":"<p>Thrust\u306b\u306f<code>event</code>\u3068<code>future</code>\u304c\u3042\u308a\u307e\u3059\u3002 <code>future</code>\u306f<code>reduce</code>\u304b\u3089\u8fd4\u3055\u308c\u3001\u305d\u306e\u4ed6\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f<code>event</code>\u3092\u8fd4\u3057\u307e\u3059\u3002 \u3069\u3061\u3089\u3082<code>wait()</code>\u30e1\u30f3\u30d0\u95a2\u6570\u3092\u6301\u3061\u3001\u975e\u540c\u671f\u5b9f\u884c\u304c\u7d42\u308f\u308b\u307e\u3067\u5f85\u3061\u307e\u3059\u3002 <code>future</code>\u306f\u3055\u3089\u306b<code>get()</code>\u30e1\u30f3\u30d0\u95a2\u6570\u3092\u6301\u3061\u3001\u5b9f\u884c\u7d50\u679c\u3092\u53d6\u5f97\u3067\u304d\u307e\u3059\u3002 \u8a73\u3057\u304f\u77e5\u308a\u305f\u3044\u65b9\u306f\u53c2\u8003\u6587\u732e2\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002 <code>event</code>\u306f<code>unique_eager_event</code>\u30af\u30e9\u30b9\u306b, <code>future</code>\u306f<code>unique_eager_future</code>\u30af\u30e9\u30b9\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u307e\u3059\u3002</p> <p>\u30d8\u30c3\u30c0\u30fc\u306f\u305d\u308c\u305e\u308cthrust/event.h, thrust/future.h\u3067\u3059\u3002 \u4eca\u56de\u306f\u8a08\u7b97\u7d50\u679c\u3092<code>host_vector</code>\u306b\u683c\u7d0d\u3059\u308b\u306e\u3067\u3001\u4f7f\u3046\u306e\u306f\u5b9f\u884c\u304c\u5b8c\u4e86\u3057\u305f\u304b\u78ba\u8a8d\u3059\u308b\u3060\u3051\u306e<code>event</code>\u3067\u3059\u3002</p> double.h<pre><code>#include &lt;thrust/event.h&gt;\n#include &lt;thrust/host_vector.h&gt;\n\nthrust::device_event Double(thrust::host_vector&lt;float&gt;&amp; doubles, thrust::host_vector&lt;int&gt;&amp; ints);\n</code></pre> <p>\u3053\u3053\u3067<code>device_event</code>\u3092\u4f7f\u3063\u3066\u3044\u307e\u3059\u304c\u3001\u30db\u30b9\u30c8\u3067\u3082\u4f7f\u3048\u307e\u3059\u3002 <code>host_event</code>\u306f\u3042\u308a\u307e\u305b\u3093\u3002 \u5f8c\u306e\u300c\u6b20\u70b9\u300d\u306e\u7bc0\u3067\u3053\u306e\u3053\u3068\u306b\u89e6\u308c\u307e\u3059\u3002 <code>__global__</code>\u306f\u3042\u3063\u3066\u3082\u306a\u304f\u3066\u3082\u3044\u3044\u3067\u3059\u3002</p>"},{"location":"blog/thrust-async/#_2","title":"\u975e\u540c\u671f\u306a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3068\u5b9f\u884c\u30dd\u30ea\u30b7\u30fc","text":"<p>Thrust\u306b\u306f<code>copy</code>\u3084<code>transform</code>\u3068\u3044\u3063\u305f\u3001STL\u306e\u3088\u3046\u306a\u95a2\u6570\u304c\u7528\u610f\u3055\u308c\u3066\u3044\u307e\u3059\u3002 \u3053\u308c\u3089\u3092\u975e\u540c\u671f\u306b\u5b9f\u884c\u3057\u305f\u3044\u5834\u5408\u306f\u3001<code>async</code>\u540d\u524d\u7a7a\u9593\u306e\u3082\u306e\u3092\u4f7f\u3048\u3070\u3044\u3044\u3067\u3059\u3002 \u4f8b\u3048\u3070\u3001<code>thrust::copy</code>\u306e\u975e\u540c\u671f\u7248\u306f<code>thrust::async::copy</code>\u3067\u3059\u3002</p> <p>\u5b9f\u884c\u30dd\u30ea\u30b7\u30fc\u3068\u306f\u3001\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u30db\u30b9\u30c8\u3067\u5b9f\u884c\u3059\u308b\u306e\u304b\u3001\u30c7\u30d0\u30a4\u30b9\u3067\u5b9f\u884c\u3059\u308b\u306e\u304b\u3001\u305d\u308c\u3068\u3082\u9010\u6b21\u7684\u306b\u51e6\u7406\u3059\u308b\u306e\u304b\u3092\u6307\u5b9a\u3059\u308b\u30af\u30e9\u30b9\u3067\u3059\u3002 \u30af\u30e9\u30b9\u540d\u306f\u305d\u308c\u305e\u308c<code>host</code>\u3001<code>device</code>\u3001<code>seq</code>\u3067\u3059\u3002 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u660e\u793a\u7684\u306b\u6307\u5b9a\u3059\u308b\u3053\u3068\u3067\u3001\u7121\u99c4\u306a\u30c7\u30fc\u30bf\u306e\u30b3\u30d4\u30fc\u3092\u6e1b\u3089\u305b\u307e\u3059\u3002 \u5b9f\u88c5\u306f\u30bf\u30b0\u30c7\u30a3\u30b9\u30d1\u30c3\u30c1\u3067\u3001\u81ea\u5206\u3067\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u3059\u308b\u3053\u3068\u3082\u53ef\u80fd\u3067\u3059\u3002 \u8a73\u3057\u304f\u306f\u53c2\u8003\u6587\u732e3\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002</p> <p>\u5b9f\u884c\u30dd\u30ea\u30b7\u30fc\u81ea\u4f53\u306f\u540c\u671f\u7684\u306a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u5bfe\u3057\u3066\u3082\u4f7f\u3048\u307e\u3059\u304c\u3001\u975e\u540c\u671f\u306a\u3089<code>host</code>\u3068<code>device</code>\u306e<code>after</code>\u30e1\u30f3\u30d0\u95a2\u6570\u306b<code>event</code>\u3068<code>future</code>\u3092\u6307\u5b9a\u3059\u308b\u3053\u3068\u3067\u5b9f\u884c\u9806\u5e8f\u3092\u6307\u5b9a\u3067\u304d\u307e\u3059\u3002 <code>event</code>\u3068<code>future</code>\u306e\u500b\u6570\u306f\u4f55\u500b\u3067\u3082\u3044\u3044\u3067\u3059\u3002 \u307e\u305f\u3001<code>thrust::when_all</code>\u95a2\u6570\u3067\u8907\u6570\u306e<code>event</code>\u3068<code>future</code>\u3092\u4e00\u3064\u306e<code>event</code>\u306b\u307e\u3068\u3081\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002</p> <p>\u3053\u308c\u3089\u3092\u8e0f\u307e\u3048\u3066\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u5b9f\u88c5\u3057\u3066\u307f\u307e\u3059\u3002</p> double.cu<pre><code>#include &lt;thrust/async/copy.h&gt;\n#include &lt;thrust/async/transform.h&gt;\n#include &lt;thrust/device_vector.h&gt;\n\n#include \"double.h\"\n\ntemplate &lt;class T&gt;\nthrust::device_event Double(thrust::host_vector&lt;T&gt;&amp; ts) {\n  // \u30c7\u30d0\u30a4\u30b9\u5074\u306e\u914d\u5217\u3092\u7528\u610f\n  auto device_ts = thrust::device_vector&lt;T&gt;();\n\n  // \u30e1\u30e2\u30ea\u306e\u78ba\u4fdd\u3068\u521d\u671f\u5316\n  device_ts.resize(ts.size());\n\n  // \u30db\u30b9\u30c8\u304b\u3089\u30c7\u30d0\u30a4\u30b9\u3078\u306e\u975e\u540c\u671f\u30b3\u30d4\u30fc\n  auto copy_ts_event = thrust::async::copy(\n      thrust::host,\n      thrust::device,\n      ts.begin(),\n      ts.end(),\n      device_ts.begin()\n  );\n\n  // \u30c7\u30d0\u30a4\u30b9\u5074\u3067\u306e\u8a08\u7b97\n  auto double_ts_event = thrust::async::transform(\n      thrust::device.after(copy_ts_event),\n      device_ts.begin(),\n      device_ts.end(),\n      device_ts.begin(),\n      [] __device__(T d) { return d * d; }\n  );\n\n  // \u30c7\u30d0\u30a4\u30b9\u304b\u3089\u30db\u30b9\u30c8\u3078\u306e\u975e\u540c\u671f\u30b3\u30d4\u30fc\n  auto copy_back_ts_event = thrust::async::copy(\n      thrust::device.after(double_ts_event),\n      device_ts.begin(),\n      device_ts.end(),\n      ts.begin()\n  );\n\n  return copy_back_ts_event;\n}\n\nthrust::device_event Double(thrust::host_vector&lt;float&gt;&amp; floats, thrust::host_vector&lt;int&gt;&amp; ints) {\n  // \u975e\u540c\u671f\u5b9f\u884c\u306e\u5b8c\u4e86\u3092\u307e\u3068\u3081\u308b\n  return thrust::when_all(Double(floats), Double(ints));\n}\n</code></pre> <p><code>int</code>\u3068<code>float</code>\u306e\u914d\u5217\u306e\u305d\u308c\u305e\u308c\u306b\u5bfe\u3057\u3066\u3001\u30c7\u30d0\u30a4\u30b9\u3078\u306e\u30b3\u30d4\u30fc\u304c\u5b8c\u4e86\u3057\u305f\u3089\u30012\u4e57\u3059\u308b\u8a08\u7b97\u3092\u884c\u3044\u3001\u7d42\u308f\u308c\u3070\u30db\u30b9\u30c8\u3078\u30b3\u30d4\u30fc\u3059\u308b\u51e6\u7406\u3092\u9806\u756a\u306b\u5b9f\u884c\u30dd\u30ea\u30b7\u30fc\u306b\u6307\u5b9a\u3057\u3066\u3044\u307e\u3059\u3002 \u6700\u5f8c\u306b\u3001\u4e21\u65b9\u306e\u914d\u5217\u304c\u30db\u30b9\u30c8\u3078\u30b3\u30d4\u30fc\u3055\u308c\u305f\u3053\u3068\u3092\u78ba\u8a8d\u3059\u308b\u305f\u3081\u306e<code>event</code>\u3092\u4f5c\u6210\u3057\u3066\u3044\u307e\u3059\u3002</p> <p>\u3042\u3068\u306f\u3001<code>main</code>\u95a2\u6570\u3067\u5404\u914d\u5217\u3092\u4f5c\u3063\u3066\u3001<code>Double</code>\u95a2\u6570\u306b\u6e21\u3057\u3066\u3001\u7d50\u679c\u304c\u6b63\u3057\u3044\u304b\u78ba\u8a8d\u3059\u308b\u3060\u3051\u3067\u3059\u3002</p> <p>main.cpp<pre><code>#include \"double.h\"\n\n#include &lt;cassert&gt;\n#include &lt;cmath&gt;\n#include &lt;iostream&gt;\n\nint main() {\n  auto floats = thrust::host_vector&lt;float&gt;();\n  auto ints   = thrust::host_vector&lt;int&gt;();\n\n  std::size_t size = 10000;\n\n  floats.reserve(size);\n  ints.reserve(size);\n\n  for (std::size_t i = 0; i &lt; size; ++i) {\n    floats.push_back(i);\n    ints.push_back(i);\n  }\n\n  auto event = Double(floats, ints);\n\n  event.wait();\n\n  for (std::size_t i = 0; i &lt; size; ++i) {\n    assert(std::abs(floats[i] - i * i) &lt; 1e-5);\n    assert(ints[i] == static_cast&lt;int&gt;(i * i));\n  }\n  std::cout &lt;&lt; \"Success!\\n\";\n\n  return 0;\n}\n</code></pre> \u672c\u5f53\u306f\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u306e\u5024\u306e\u6bd4\u8f03\u3092\u3082\u3046\u5c11\u3057\u4e01\u5be7\u306b\u3059\u308b\u3079\u304d\u3067\u3059\u304c\u3001\u672c\u984c\u3068\u95a2\u4fc2\u306a\u3044\u306e\u3067\u826f\u3057\u3068\u3057\u307e\u3059\u3002</p>"},{"location":"blog/thrust-async/#_3","title":"\u5229\u70b9","text":"<p>\u4e00\u822c\u306b\u975e\u540c\u671f\u5b9f\u884c\u3068\u3044\u3046\u3068\u8eab\u69cb\u3048\u308b\u65b9\u304c\u591a\u3044\u3068\u601d\u308f\u308c\u307e\u3059\u304c\u3001\u4e0a\u306e\u89e3\u8aac\u3092\u898b\u308b\u3068\u610f\u5916\u3068\u7c21\u5358\u306b\u3067\u304d\u308b\u3068\u601d\u308f\u308c\u305f\u306e\u3067\u306f\u306a\u3044\u3067\u3057\u3087\u3046\u304b\u3002 \u307e\u305f\u3001\u5b9f\u884c\u30dd\u30ea\u30b7\u30fc\u3067\u5b9f\u884c\u9806\u5e8f\u3092\u6307\u5b9a\u3067\u304d\u308b\u306e\u3082\u9b45\u529b\u7684\u3067\u3059\u3002</p> <p>\u975e\u540c\u671f\u51e6\u7406\u306e\u5229\u70b9\u3068\u3044\u3046\u3088\u308aThrust\u3092\u4f7f\u3046\u5229\u70b9\u306b\u306a\u308a\u307e\u3059\u304c\u3001\u5b9f\u306frocThrust\u3068\u3044\u3046\u3001CUDA\u3092HIP\u3068ROCm\u306b\u7f6e\u304d\u63db\u3048\u305fThrust\u3092AMD\u304c\u958b\u767a\u3057\u3066\u3044\u307e\u3059\u3002 \u73fe\u6642\u70b9\u3067\u306f\u3001Thrust 1.17.2\u307e\u3067\u5bfe\u5fdc\u3057\u3066\u3044\u307e\u3059\u306e\u3067\u975e\u540c\u671f\u5b9f\u884c\u3082\u3067\u304d\u307e\u3059\u3002 \u8a73\u3057\u304f\u306f\u53c2\u8003\u6587\u732e4\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002</p>"},{"location":"blog/thrust-async/#_4","title":"\u6b20\u70b9","text":"<p>\u6b8b\u5ff5\u306a\u304c\u3089\u6b20\u70b9\u304c\u3042\u308a\u307e\u3059\u3002 1\u3064\u76ee\u306e\u6b20\u70b9\u306fCUDA\u304c\u30c7\u30d0\u30a4\u30b9\u306e\u6642\u304b\u3064\u30c7\u30d0\u30a4\u30b9\u5074\u3067\u3057\u304b\u4f7f\u3048\u306a\u3044\u3053\u3068\u3067\u3059\u3002 Thrust\u306foneTBB\u3092\u30c7\u30d0\u30a4\u30b9\u3068\u3057\u3066\u4f7f\u3046\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u304c\u3001\u975e\u540c\u671f\u51e6\u7406\u306foneTBB\u3067\u306f\u5b9f\u88c5\u3055\u308c\u3066\u3044\u307e\u305b\u3093\u3002 \u30b7\u30ea\u30a2\u30eb\u3084OpenMP\u3082\u540c\u69d8\u3067\u3059\u3002 \u300cevent\u3068future\u300d\u7bc0\u3067\u89e6\u308c\u307e\u3057\u305f\u304c\u3001\u3053\u308c\u304c<code>host_event</code>\u304c\u306a\u3044\u7406\u7531\u3060\u3068\u8003\u3048\u3089\u308c\u307e\u3059\u3002 \u3057\u304b\u3057\u3001\u3053\u306e\u6b20\u70b9\u306f\u3055\u307b\u3069\u554f\u984c\u306b\u306a\u3089\u306a\u3044\u3067\u3057\u3087\u3046\u3002</p> <p>2\u3064\u76ee\u306e\u6b20\u70b9\u306f<code>async::copy</code>\u304c\u8ee2\u9001\u3059\u308b\u30c7\u30fc\u30bf\u306e\u578b\u306b\u5bfe\u3057\u3066trivially relocatable\u3067\u3042\u308b\u3053\u3068\u3092\u8981\u6c42\u3057\u3066\u3044\u308b\u3053\u3068\u3067\u3059\u3002 trivially relocatable\u306a\u578b\u3068\u306f\u3001\u7c21\u5358\u306b\u8a00\u3046\u3068\u30b3\u30d4\u30fc\u3068\u30e0\u30fc\u30d6\u3001\u7834\u68c4\u304c<code>default</code>\u3067\u51fa\u6765\u3066\u3001\u4eee\u60f3\u30e1\u30f3\u30d0\u95a2\u6570\u3068\u4eee\u60f3\u7d99\u627f\u3092\u6301\u305f\u305a\u3001\u5168\u3066\u306e\u30e1\u30f3\u30d0\u5909\u6570\u3068\u57fa\u5e95\u30af\u30e9\u30b9\u3082trivially relocatable\u306a\u578b\u3067\u3059\u3002 \u3053\u308c\u306f<code>memcpy</code>\u3067\u30db\u30b9\u30c8\u3068\u30c7\u30d0\u30a4\u30b9\u9593\u3067\u30c7\u30fc\u30bf\u8ee2\u9001\u3067\u304d\u308b\u3088\u3046\u306b\u3059\u308b\u305f\u3081\u306b\u5c0e\u5165\u3055\u308c\u307e\u3057\u305f\u3002 Thrust\u3067\u306f\u3001<code>THRUST_PROCLAIM_TRIVIALLY_RELOCATABLE</code>\u30de\u30af\u30ed\u95a2\u6570\u3092\u4f7f\u3063\u3066\u3001\u4e0e\u3048\u305f\u578b\u304ctrivially relocatable\u3067\u3042\u308b\u3068\u5ba3\u8a00\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002 \u5236\u7d04\u304c\u5f37\u3044\u3082\u306e\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u306f\u5411\u4e0a\u3057\u3001\u79c1\u304c\u884c\u3063\u305f\u5b9f\u9a13\u3067\u306f\u305d\u3046\u3067\u306a\u3044\u3082\u306e\u306b\u6bd4\u3079\u3066\u5b9f\u884c\u6642\u9593\u304c\u7d0430%\u6e1b\u3063\u3066\u3044\u307e\u3059\u3002 \u8a73\u3057\u304f\u306f\u53c2\u8003\u6587\u732e5\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002</p>"},{"location":"blog/thrust-async/#_5","title":"\u5b9f\u306f...","text":"<p>Thrust\u306e\u30ea\u30dd\u30b8\u30c8\u30ea\u3092\u3054\u89a7\u306b\u306a\u308b\u3068\u308f\u304b\u308b\u306e\u3067\u3059\u304c\u3001\u306a\u3093\u3068\u30a2\u30fc\u30ab\u30a4\u30d6\u306b\u3055\u308c\u3066\u307e\u3059\u3002 \u3069\u3046\u3084\u3089\u534a\u5e74\u524d\u304b\u3089CCCL\u3068\u3044\u3046\u3001CUB\u3068libcudacxx\u3082\u4e00\u7dd2\u306b\u3057\u305f\u30ea\u30dd\u30b8\u30c8\u30ea\u306b\u79fb\u3063\u305f\u3088\u3046\u3067\u3059\u3002 \u3053\u306e\u3053\u3068\u306b\u6c17\u3065\u3044\u305f\u306e\u304c\u4e00\u6628\u65e5\u3060\u3063\u305f\u306e\u3067\u3001\u6628\u65e5CCCL\u3067\u3082\u30d3\u30eb\u30c9\u3067\u304d\u308b\u304b\u8a66\u3057\u3066\u3044\u305f\u306e\u3067\u3059\u304c\u3001\u4e0a\u8ff0\u306e\u3084\u308a\u65b9\u3067\u306f\u30a8\u30e9\u30fc\u304c\u51fa\u3066\u3057\u307e\u3044\u307e\u3057\u305f\u3002 \u3069\u3046\u306b\u304b\u89e3\u6c7a\u3057\u305f\u304b\u3063\u305f\u306e\u3067\u3059\u304c\u3001\u6642\u9593\u3082\u306a\u304b\u3063\u305f\u306e\u3067\u3068\u308a\u3042\u3048\u305aThrust\u306b\u5bfe\u3057\u3066\u66f8\u304d\u307e\u3057\u305f\u3002 \u3082\u3057\u3054\u5b58\u3058\u306e\u65b9\u304c\u3044\u3089\u3063\u3057\u3083\u3063\u305f\u3089\u3001\u6559\u3048\u3066\u3044\u305f\u3060\u3051\u308b\u3068\u5e78\u3044\u3067\u3059\u3002</p>"},{"location":"blog/thrust-async/#_6","title":"\u307e\u3068\u3081","text":"<p>\u30c7\u30fc\u30bf\u304ctrivially relocatable\u306a\u578b\u306a\u3089\u3001\u304a\u624b\u8efd\u306b\u975e\u540c\u671f\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002</p>"},{"location":"blog/thrust-async/#_7","title":"\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9","text":"<p>GitHub\u306b\u7f6e\u3044\u3066\u3044\u307e\u3059\u3002</p>"},{"location":"blog/thrust-async/#_8","title":"\u53c2\u8003\u6587\u732e","text":"<ol> <li>https://developer.nvidia.com/blog/separate-compilation-linking-cuda-device-code/</li> <li>https://github.com/NVIDIA/thrust/blob/main/thrust/system/cuda/detail/future.inl</li> <li>https://github.com/NVIDIA/thrust/blob/main/thrust/execution_policy.h</li> <li>https://github.com/ROCmSoftwarePlatform/rocThrust</li> <li>https://github.com/NVIDIA/thrust/releases/tag/1.9.4</li> </ol>"},{"location":"blog/thrust/","title":"Thrust\u306e\u4f7f\u3044\u65b9","text":"<p>Thrust\u3092\u4f7f\u3046\u6a5f\u4f1a\u304c\u3042\u3063\u305f\u306e\u3067\u3001\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u7c21\u5358\u306b\u7ffb\u8a33\u3059\u308b\u3002</p>"},{"location":"blog/thrust/#_1","title":"\u7d39\u4ecb","text":"<p>Thrust\u3068\u306fSTL\u306b\u57fa\u3065\u3044\u305f\u3001CUDA\u306e\u305f\u3081\u306eC++\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3042\u308b\u3002 Thrust\u306b\u3088\u3063\u3066\u3001CUDA C\u3068\u5b8c\u5168\u306a\u4e92\u63db\u6027\u304c\u3042\u308b\u9ad8\u6c34\u6e96\u306e\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30a4\u30b9\u3092\u901a\u3057\u3066\u3001\u6700\u5c0f\u9650\u306e\u52b4\u529b\u3067\u9ad8\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u306a\u4e26\u5217\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3092\u5b9f\u88c5\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3002</p>"},{"location":"blog/thrust/#_2","title":"\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb","text":"<p>CUDA\u30c4\u30fc\u30eb\u30ad\u30c3\u30c8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u3068\u3001Thrust\u306e\u30d8\u30c3\u30c0\u30d5\u30a1\u30a4\u30eb\u3082\u6a19\u6e96\u306eCUDA\u30a4\u30f3\u30af\u30eb\u30fc\u30c9\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u306b\u30b3\u30d4\u30fc\u3055\u308c\u308b\u3002 Thrust\u306f\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u30e9\u30a4\u30d6\u30e9\u30ea\u306a\u306e\u3067\u3001\u3053\u308c\u4ee5\u4e0a\u3059\u308b\u3053\u3068\u306f\u306a\u3044\u3002</p>"},{"location":"blog/thrust/#vectors","title":"Vectors","text":"<p>Thrust\u306f2\u3064\u306evector\u30b3\u30f3\u30c6\u30ca\u3001<code>host_vector</code>\u3068<code>device_vector</code>\u3092\u63d0\u4f9b\u3057\u3066\u3044\u308b\u3002 \u540d\u524d\u304c\u793a\u3059\u3088\u3046\u306b\u3001<code>device_vector</code>\u306fGPU\u306e\u30e1\u30e2\u30ea\u306b\u3042\u308b\u4e00\u65b9\u3067\u3001<code>host_vector</code>\u306f\u30db\u30b9\u30c8\u30e1\u30e2\u30ea\u306b\u4fdd\u5b58\u3055\u308c\u308b\u3002 Thrust\u306evector\u30b3\u30f3\u30c6\u30ca\u306f<code>std::vector</code>\u306b\u4f3c\u3066\u3044\u308b\u3002 <code>std::vector</code>\u306e\u3088\u3046\u306b\u3001<code>host_vector</code>\u3068<code>device_vector</code>\u306f\u52d5\u7684\u306b\u30b5\u30a4\u30ba\u3092\u5909\u3048\u308b\u3053\u3068\u304c\u51fa\u6765\u308b\u3001\u30b8\u30a7\u30cd\u30ea\u30c3\u30af\u30b3\u30f3\u30c6\u30ca(\u4efb\u610f\u306e\u30c7\u30fc\u30bf\u578b\u3092\u6301\u3066\u308b)\u3067\u3042\u308b\u3002 \u4ee5\u4e0b\u306e\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306fThrust\u306evector\u30b3\u30f3\u30c6\u30ca\u306e\u4f7f\u3044\u65b9\u3092\u793a\u3059\u3002</p> <pre><code>#include &lt;thrust/host_vector.h&gt;\n#include &lt;thrust/device_vector.h&gt;\n\n#include &lt;iostream&gt;\n\nint main(void)\n{\n    // H has storage for 4 integers\n    thrust::host_vector&lt;int&gt; H(4);\n\n    // initialize individual elements\n    H[0] = 14;\n    H[1] = 20;\n    H[2] = 38;\n    H[3] = 46;\n\n    // H.size() returns the size of vector H\n    std::cout &lt;&lt; \"H has size \" &lt;&lt; H.size() &lt;&lt; std::endl;\n\n    // print contents of H\n    for(int i = 0; i &lt; H.size(); i++)\n        std::cout &lt;&lt; \"H[\" &lt;&lt; i &lt;&lt; \"] = \" &lt;&lt; H[i] &lt;&lt; std::endl;\n\n    // resize H\n    H.resize(2);\n\n    std::cout &lt;&lt; \"H now has size \" &lt;&lt; H.size() &lt;&lt; std::endl;\n\n    // Copy host_vector H to device_vector D\n    thrust::device_vector&lt;int&gt; D = H;\n\n    // elements of D can be modified\n    D[0] = 99;\n    D[1] = 88;\n\n    // print contents of D\n    for(int i = 0; i &lt; D.size(); i++)\n        std::cout &lt;&lt; \"D[\" &lt;&lt; i &lt;&lt; \"] = \" &lt;&lt; D[i] &lt;&lt; std::endl;\n\n    // H and D are automatically deleted when the function returns\n    return 0;\n}\n</code></pre> <p>\u3053\u306e\u4f8b\u304c\u793a\u3059\u3088\u3046\u306b\u3001<code>=</code>\u6f14\u7b97\u5b50\u306f<code>host_vector</code>\u304b\u3089<code>device_vector</code>\u3078\u30b3\u30d4\u30fc\u3059\u308b\u305f\u3081\u306b\u4f7f\u308f\u308c\u308b(\u9006\u3082\u540c\u69d8)\u3002 \u3082\u3061\u308d\u3093\u3001<code>host_vector</code>\u540c\u58eb\u3084<code>device_vector</code>\u540c\u58eb\u3067\u30b3\u30d4\u30fc\u3059\u308b\u305f\u3081\u306b\u3082\u4f7f\u308f\u308c\u308b\u3002 \u307e\u305f\u3001<code>device_vector</code>\u306e\u500b\u3005\u306e\u8981\u7d20\u306f\u5927\u304b\u3063\u3053\u3092\u4f7f\u3063\u3066\u30a2\u30af\u30bb\u30b9\u3067\u304d\u308b\u304c\u3001\u5404\u30a2\u30af\u30bb\u30b9\u306f<code>cudaMemcpy</code>\u3092\u547c\u3073\u51fa\u3059\u5fc5\u8981\u304c\u3042\u308b\u305f\u3081\u3001\u51fa\u6765\u308b\u9650\u308a\u4f7f\u308f\u306a\u3044\u65b9\u304c\u826f\u3044\u3002</p> <p>\u7279\u5b9a\u306e\u5024\u3067vector\u306e\u3059\u3079\u3066\u306e\u8981\u7d20\u3092\u521d\u671f\u5316\u3057\u305f\u308a\u3001\u3042\u308bvector\u306e\u3042\u308b\u5024\u306e\u96c6\u5408\u3092\u5225\u306evector\u306b\u30b3\u30d4\u30fc\u3060\u3051\u3057\u305f\u308a\u3059\u308b\u3053\u3068\u304c\u4fbf\u5229\u306a\u3053\u3068\u304c\u591a\u3044\u3002 Thrust\u306f\u3053\u308c\u3089\u306e\u64cd\u4f5c\u3092\u884c\u3046\u3044\u304f\u3064\u304b\u306e\u65b9\u6cd5\u3092\u63d0\u4f9b\u3057\u3066\u3044\u308b\u3002</p> <pre><code>#include &lt;thrust/host_vector.h&gt;\n#include &lt;thrust/device_vector.h&gt;\n\n#include &lt;thrust/copy.h&gt;\n#include &lt;thrust/fill.h&gt;\n#include &lt;thrust/sequence.h&gt;\n\n#include &lt;iostream&gt;\n\nint main(void)\n{\n    // initialize all ten integers of a device_vector to 1\n    thrust::device_vector&lt;int&gt; D(10, 1);\n\n    // set the first seven elements of a vector to 9\n    thrust::fill(D.begin(), D.begin() + 7, 9);\n\n    // initialize a host_vector with the first five elements of D\n    thrust::host_vector&lt;int&gt; H(D.begin(), D.begin() + 5);\n\n    // set the elements of H to 0, 1, 2, 3, ...\n    thrust::sequence(H.begin(), H.end());\n\n    // copy all of H back to the beginning of D\n    thrust::copy(H.begin(), H.end(), D.begin());\n\n    // print D\n    for(int i = 0; i &lt; D.size(); i++)\n        std::cout &lt;&lt; \"D[\" &lt;&lt; i &lt;&lt; \"] = \" &lt;&lt; D[i] &lt;&lt; std::endl;\n\n    return 0;\n}\n</code></pre> <p><code>copy</code>\u95a2\u6570\u306f\u30db\u30b9\u30c8\u304b\u30c7\u30d0\u30a4\u30b9\u306e\u8981\u7d20\u306e\u7bc4\u56f2\u3092\u5225\u306e\u30db\u30b9\u30c8\u304b\u30c7\u30d0\u30a4\u30b9\u306evector\u306b\u30b3\u30d4\u30fc\u3059\u308b\u3002 <code>thrust::fill</code>\u95a2\u6570\u306f\u5358\u306b\u7bc4\u56f2\u5185\u306e\u8981\u7d20\u306b\u7279\u5b9a\u306e\u5024\u3092\u5165\u308c\u308b\u3002 <code>sequence</code>\u95a2\u6570\u306f\u7b49\u9593\u9694\u306e\u5024\u306e\u5217\u3092\u4f5c\u6210\u3059\u308b\u305f\u3081\u306b\u4f7f\u3046\u3053\u3068\u304c\u3067\u304d\u308b\u3002</p>"},{"location":"blog/thrust/#21-thrust","title":"2.1 Thrust\u306e\u540d\u524d\u7a7a\u9593","text":"<p>Thrust\u306e\u540d\u524d\u7a7a\u9593\u306f<code>thrust</code>\u3002</p>"},{"location":"blog/thrust/#22","title":"2.2 \u30a4\u30c6\u30ec\u30fc\u30bf\u3068\u9759\u7684\u30c7\u30a3\u30b9\u30d1\u30c3\u30c1","text":"<p>\u751f\u306e\u30dd\u30a4\u30f3\u30bf\u30fc\u3092Thrust\u306e\u95a2\u6570\u306b\u5f15\u6570\u3068\u3057\u3066\u6e21\u3059\u3053\u3068\u3082\u3067\u304d\u308b\u3002 \u305f\u3060\u3057\u3001\u30c7\u30d0\u30a4\u30b9\u30e1\u30e2\u30ea\u3078\u306e\u30dd\u30a4\u30f3\u30bf\u30fc\u306f<code>thrust::device_ptr</code>\u3067\u5305\u307e\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\u3002 \u4f8b\u3048\u3070\u3001 <pre><code>size_t N = 10;\n\n// raw pointer to device memory\nint * raw_ptr;\ncudaMalloc((void **) &amp;raw_ptr, N * sizeof(int));\n\n// wrap raw pointer with a device_ptr\nthrust::device_ptr&lt;int&gt; dev_ptr(raw_ptr);\n\n// use device_ptr in thrust algorithms\nthrust::fill(dev_ptr, dev_ptr + N, (int) 0);\n</code></pre></p> <p><code>device_ptr</code>\u304b\u3089\u751f\u306e\u30dd\u30a4\u30f3\u30bf\u3092\u53d6\u308a\u51fa\u3059\u306b\u306f\u3001<code>raw_pointer_cast</code>\u3092\u4f7f\u3046\u3079\u304d\u3060\u3002 <pre><code>size_t N = 10;\n\n// create a device_ptr\nthrust::device_ptr&lt;int&gt; dev_ptr = thrust::device_malloc&lt;int&gt;(N);\n\n// extract raw pointer from device_ptr\nint * raw_ptr = thrust::raw_pointer_cast(dev_ptr);\n</code></pre></p> <p>\u30a4\u30c6\u30ec\u30fc\u30bf\u3068\u30dd\u30a4\u30f3\u30bf\u3092\u533a\u5225\u3059\u308b\u3082\u3046\u4e00\u3064\u306e\u7406\u7531\u306f\u3001\u30a4\u30c6\u30ec\u30fc\u30bf\u306f\u591a\u304f\u306e\u7a2e\u985e\u306e\u30c7\u30fc\u30bf\u69cb\u9020\u3092\u6a2a\u65ad\u3059\u308b\u305f\u3081\u306b\u4f7f\u3048\u308b\u304b\u3089\u3067\u3042\u308b\u3002 \u4f8b\u3048\u3070\u3001STL\u306f\u53cc\u65b9\u5411\u30a4\u30c6\u30ec\u30fc\u30bf\u3092\u63d0\u4f9b\u3059\u308b\u30ea\u30f3\u30af\u30ea\u30b9\u30c8\u3092\u63d0\u4f9b\u3057\u3066\u3044\u308b\u3002 Thrust\u306f\u305d\u306e\u3088\u3046\u306a\u30b3\u30f3\u30c6\u30ca\u306e\u30c7\u30d0\u30a4\u30b9\u306e\u5b9f\u88c5\u306f\u63d0\u4f9b\u3057\u3066\u3044\u306a\u3044\u304c\u3001\u305d\u308c\u3089\u3068\u4e92\u63db\u6027\u304c\u3042\u308b\u3002 <pre><code>#include &lt;thrust/device_vector.h&gt;\n#include &lt;thrust/copy.h&gt;\n#include &lt;list&gt;\n#include &lt;vector&gt;\n\nint main(void)\n{\n    // create an STL list with 4 values\n    std::list&lt;int&gt; stl_list;\n\n    stl_list.push_back(10);\n    stl_list.push_back(20);\n    stl_list.push_back(30);\n    stl_list.push_back(40);\n\n    // initialize a device_vector with the list\n    thrust::device_vector&lt;int&gt; D(stl_list.begin(), stl_list.end());\n\n    // copy a device_vector into an STL vector\n    std::vector&lt;int&gt; stl_vector(D.size());\n    thrust::copy(D.begin(), D.end(), stl_vector.begin());\n\n    return 0;\n}\n</code></pre></p> <p>Thrust\u306f<code>counting_iterator</code>\u3084<code>zip_iterator</code>\u3068\u3044\u3063\u305f\u3001\u88c5\u98fe\u7684\u306a\u30a4\u30c6\u30ec\u30fc\u30bf\u306e\u96c6\u307e\u308a\u3082\u63d0\u4f9b\u3059\u308b\u3002</p>"},{"location":"blog/thrust/#3","title":"3. \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0","text":"<p>Thrust\u306f\u305f\u304f\u3055\u3093\u306e\u3042\u308a\u3075\u308c\u305f\u4e26\u5217\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u63d0\u4f9b\u3057\u3066\u3044\u308b\u3002 \u3053\u308c\u3089\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u591a\u304f\u306fSTL\u306e\u76f4\u63a5\u7684\u306a\u985e\u4f3c\u3092\u6301\u3061\u3001\u540c\u3058STL\u95a2\u6570\u304c\u5b58\u5728\u3059\u308b\u6642\u306f\u540c\u3058\u540d\u524d\u3092\u4f7f\u3046(\u4f8b: <code>thrust::sort</code>\u3068<code>std::sort</code>)\u3002</p> <p>Thrust\u306e\u5168\u3066\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u30db\u30b9\u30c8\u3068\u30c7\u30d0\u30a4\u30b9\u306e\u4e21\u65b9\u306b\u5bfe\u3059\u308b\u5b9f\u88c5\u3092\u6301\u3064\u3002 \u7279\u306b\u3001Thrust\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u30db\u30b9\u30c8\u30a4\u30c6\u30ec\u30fc\u30bf\u3068\u4e00\u7dd2\u306b\u547c\u3073\u51fa\u3055\u308c\u305f\u6642\u3001\u30db\u30b9\u30c8\u30d1\u30b9\u304c\u30c7\u30a3\u30b9\u30d1\u30c3\u30c1\u3055\u308c\u308b\u3002 \u540c\u69d8\u306b\u3001\u30c7\u30d0\u30a4\u30b9\u30a4\u30c6\u30ec\u30fc\u30bf\u304c\u7bc4\u56f2\u3092\u5b9a\u7fa9\u3059\u308b\u305f\u3081\u306b\u4f7f\u308f\u308c\u3066\u3044\u308b\u6642\u3001\u30c7\u30d0\u30a4\u30b9\u306e\u5b9f\u88c5\u304c\u547c\u3070\u308c\u308b\u3002</p> <p>\u30db\u30b9\u30c8\u3068\u30c7\u30d0\u30a4\u30b9\u9593\u3067\u30c7\u30fc\u30bf\u3092\u30b3\u30d4\u30fc\u3067\u304d\u308b<code>thrust::copy</code>\u3068\u3044\u3046\u4f8b\u5916\u306f\u3042\u308b\u304c\u3001Thrust\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3078\u306e\u5168\u3066\u306e\u30a4\u30c6\u30ec\u30fc\u30bf\u306e\u5f15\u6570\u306f\u540c\u3058\u5834\u6240(\u5168\u3066\u30db\u30b9\u30c8\u4e0a\u304b\u5168\u3066\u30c7\u30d0\u30a4\u30b9\u4e0a)\u306b\u3042\u308b\u3079\u304d\u3060\u3002 \u3053\u306e\u8981\u4ef6\u3092\u7834\u3063\u305f\u6642\u3001\u30a8\u30e9\u30fc\u30e1\u30c3\u30bb\u30fc\u30b8\u304c\u4f5c\u3089\u308c\u308b\u3002</p>"},{"location":"blog/thrust/#31","title":"3.1 \u5909\u5f62","text":"<p>\u5b8c\u5168\u306a\u30ea\u30b9\u30c8\u306f\u3053\u3053\u3002</p> <p>\u4ee5\u4e0b\u306e\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306f\u3044\u304f\u3064\u304b\u306e\u5909\u5f62\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u793a\u3057\u3066\u3044\u308b\u3002 <code>thrust::negate</code>\u3084<code>thrust::modulus</code>\u306a\u3069\u306e\u3042\u308a\u3075\u308c\u305ffunctor\u306f<code>thrust/functional.h</code>\u306b\u5b9a\u7fa9\u3055\u308c\u3066\u3044\u308b\u3002</p> <pre><code>#include &lt;thrust/device_vector.h&gt;\n#include &lt;thrust/transform.h&gt;\n#include &lt;thrust/sequence.h&gt;\n#include &lt;thrust/copy.h&gt;\n#include &lt;thrust/fill.h&gt;\n#include &lt;thrust/replace.h&gt;\n#include &lt;thrust/functional.h&gt;\n#include &lt;iostream&gt;\n\nint main(void)\n{\n    // allocate three device_vectors with 10 elements\n    thrust::device_vector&lt;int&gt; X(10);\n    thrust::device_vector&lt;int&gt; Y(10);\n    thrust::device_vector&lt;int&gt; Z(10);\n\n    // initialize X to 0,1,2,3, ....\n    thrust::sequence(X.begin(), X.end());\n\n    // compute Y = -X\n    thrust::transform(X.begin(), X.end(), Y.begin(), thrust::negate&lt;int&gt;());\n\n    // fill Z with twos\n    thrust::fill(Z.begin(), Z.end(), 2);\n\n    // compute Y = X mod 2\n    thrust::transform(X.begin(), X.end(), Z.begin(), Y.begin(), thrust::modulus&lt;int&gt;());\n\n    // replace all the ones in Y with tens\n    thrust::replace(Y.begin(), Y.end(), 1, 10);\n\n    // print Y\n    thrust::copy(Y.begin(), Y.end(), std::ostream_iterator&lt;int&gt;(std::cout, \"\\n\"));\n\n    return 0;\n}\n</code></pre> <p>SAXPY\u306e\u5b9f\u88c5\u306b\u3064\u3044\u3066\u66f8\u3044\u3066\u3042\u308b\u304c\u3001\u7701\u7565\u3002</p> <p>functor\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u4f5c\u6210\u3067\u304d\u308b\u3002 <pre><code>struct saxpy_functor\n{\n    const float a;\n\n    saxpy_functor(float _a) : a(_a) {}\n\n    __host__ __device__\n        float operator()(const float&amp; x, const float&amp; y) const {\n            return a * x + y;\n        }\n};\n</code></pre></p> <p>\u8907\u96d1\u306a\u8a08\u7b97\u306f\u3001\u7c21\u5358\u306a\u8a08\u7b97\u306b\u5206\u89e3\u3057\u3066\u4f55\u56de\u304b\u306b\u5206\u3051\u3066\u5168\u4f53\u3092\u8a08\u7b97\u3059\u308b\u3088\u308a\u3001\u8907\u96d1\u306a\u8a08\u7b97\u30921\u56de\u3067\u307e\u3068\u3081\u3066\u5168\u4f53\u3092\u8a08\u7b97\u3059\u308b\u307b\u3046\u304c\u65e9\u3044\u3002 \u4f8b\u3048\u3070\u3001\u914d\u5217<code>a</code>, <code>b</code>, <code>x</code>\u306b\u5bfe\u3057\u3066\u3001<code>a * x + b</code>\u3092\u8a08\u7b97\u3059\u308b\u306a\u3089\u3001<code>a * x</code>\u3092\u8a08\u7b97\u3057\u3066<code>b</code>\u3092\u8db3\u3059\u3088\u308a<code>a[i] * x[i] + b[i]</code>\u3092\u8a08\u7b97\u3059\u308b\u307b\u3046\u304c\u65e9\u3044\u3002</p> <p><code>thrust::transform</code>\u306f1\u3064\u304b2\u3064\u306e\u5165\u529b\u5f15\u6570\u3057\u304b\u6301\u305f\u306a\u3044\u304c\u3001\u3053\u306e\u4f8b\u3092\u4f7f\u3046\u30682\u3064\u3088\u308a\u591a\u3044\u5165\u529b\u3067\u30821\u56de\u3067\u51fa\u6765\u308b\u3002</p>"},{"location":"blog/thrust/#32-reductions","title":"3.2 Reductions","text":"<p>\u7279\u306b\u6c17\u3092\u4ed8\u3051\u308b\u3053\u3068\u306f\u306a\u3044\u3002 \u8a73\u7d30\u306f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u53c2\u7167\u3002</p>"},{"location":"blog/thrust/#33-prefix-sums","title":"3.3 Prefix-Sums","text":""}]}
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diff --git a/sitemap.xml b/sitemap.xml
index 54022cd..da336c0 100644
--- a/sitemap.xml
+++ b/sitemap.xml
@@ -2,30 +2,34 @@
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     <url>
          <loc>https://sukeya.github.io/</loc>
-         <lastmod>2024-09-01</lastmod>
+         <lastmod>2024-09-02</lastmod>
     </url>
     <url>
          <loc>https://sukeya.github.io/blog/cannot-change-perf-event-paranoid/</loc>
-         <lastmod>2024-09-01</lastmod>
+         <lastmod>2024-09-02</lastmod>
     </url>
     <url>
          <loc>https://sukeya.github.io/blog/config-apple-magic-keyboard-in-ubuntu/</loc>
-         <lastmod>2024-09-01</lastmod>
+         <lastmod>2024-09-02</lastmod>
     </url>
     <url>
          <loc>https://sukeya.github.io/blog/how-to-use-alembic/</loc>
-         <lastmod>2024-09-01</lastmod>
+         <lastmod>2024-09-02</lastmod>
     </url>
     <url>
          <loc>https://sukeya.github.io/blog/memo/</loc>
-         <lastmod>2024-09-01</lastmod>
+         <lastmod>2024-09-02</lastmod>
     </url>
     <url>
          <loc>https://sukeya.github.io/blog/thrust-async/</loc>
-         <lastmod>2024-09-01</lastmod>
+         <lastmod>2024-09-02</lastmod>
     </url>
     <url>
          <loc>https://sukeya.github.io/blog/thrust/</loc>
-         <lastmod>2024-09-01</lastmod>
+         <lastmod>2024-09-02</lastmod>
+    </url>
+    <url>
+         <loc>https://sukeya.github.io/cuda_programming_guide/programming_model/</loc>
+         <lastmod>2024-09-02</lastmod>
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 </urlset>
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