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UBAI Cluster.html
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<li><a href="#partition" id="toc-partition" class="nav-link" data-scroll-target="#partition">Partition</a></li>
<li><a href="#사사의-글-안내" id="toc-사사의-글-안내" class="nav-link" data-scroll-target="#사사의-글-안내">사사의 글 안내</a></li>
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<section id="ubai" class="level2 unnumbered">
<h2 class="unnumbered anchored" data-anchor-id="ubai">UBAI</h2>
<p>도시과학빅데이터·AI연구원(이하 UBAI)은 사용자에게 고성능컴퓨팅(HPC) 자원을 제공합니다.</p>
<p>사용자는 Slurm을 통해 독점적인 자원을 할당받고 AI학습 및 추론, 연산, 시뮬레이션 등의 작업(Job)을 수행할 수 있습니다.</p>
<p><strong>💡 Slurm</strong></p>
<pre><code>Slurm은 다양한 사용자들의 다양한 요구를 수용하고(Job Submit),
각 사용자들의 작업을 스케줄링하며(Task Scheduling),
자원을 관리(Resource Management)하는 Linux 유틸리티 입니다.</code></pre>
<p>UBAI는 여러 명의 사용자에게 UBAI Cluster를 제공하기 위해 Slurm을 사용합니다.</p>
<p>Slurm에 대해 보다 자세한 설명 및 사용법을 원하시는 분은 <a href="https://orange-cabbage-c9c.notion.site/UBAI-Slurm-d8fe6f744ff6431abc9dd0af96aca76a">Slurm페이지</a>로 이동하세요.</p>
<p><strong>💡 Visual Studio Code</strong></p>
<pre><code>Visual Studio Code(이하 VScode)는 Microsoft에서 오픈소스로 개발한 소스 코드 에디터입니다.
MacOS, Linux, Windows와 같은 다양한 운영체제와 다양한 확장 기술을 지원하여,
전 세계적으로 널리 활용되고 있습니다.</code></pre>
<p>UBAI는 VScode를 이용한 서버 접속 방법을 제공합니다.</p>
<p>서버 접속에 앞서 VScode의 이용법을 알고 있어야 합니다. VScode는 <a href="https://code.visualstudio.com/download">홈페이지</a>에서 다운받을 수 있으며, VScode 사용과 관련한 자세한 사항은 <a href="https://code.visualstudio.com/docs">공식 문서</a>를 참고하세요.</p>
</section>
<section id="partition" class="level2 unnumbered">
<h2 class="unnumbered anchored" data-anchor-id="partition">Partition</h2>
<p>Slurm에서 Partition은 특정 자원 그룹을 정의하는 논리적 단위입니다.</p>
<p>사용자들이 작업을 제출할 때 특정 Partition을 지정하여 자원을 할당받을 수 있습니다.</p>
<p>Partition 목록은 아래와 같습니다.</p>
<table class="caption-top table">
<colgroup>
<col style="width: 11%">
<col style="width: 12%">
<col style="width: 16%">
<col style="width: 19%">
<col style="width: 12%">
<col style="width: 12%">
<col style="width: 6%">
<col style="width: 7%">
</colgroup>
<thead>
<tr class="header">
<th><strong>Partition</strong></th>
<th><strong># of Nodes</strong></th>
<th><strong># of Cores/node</strong></th>
<th><strong>CPU</strong></th>
<th><strong>GPU/node</strong></th>
<th><strong>Memory/node</strong></th>
<th><strong>SSD</strong></th>
<th><strong>Note</strong></th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>gpu1</td>
<td>13</td>
<td>48</td>
<td>Intel Xeon Gold 6240R</td>
<td>RTX3090 (4EA)</td>
<td>768GB</td>
<td>2TB</td>
<td>*</td>
</tr>
<tr class="even">
<td>edu1</td>
<td>5</td>
<td>48</td>
<td>Intel Xeon Gold 6240R</td>
<td>A10 (4EA)</td>
<td>768GB</td>
<td>2TB</td>
<td>*</td>
</tr>
<tr class="odd">
<td>cpu1</td>
<td>30</td>
<td>48</td>
<td>Intel Xeon Gold 6240R</td>
<td>None</td>
<td>768GB</td>
<td>2TB</td>
<td>*</td>
</tr>
<tr class="even">
<td>gpu2</td>
<td>10</td>
<td>56</td>
<td>Intel Xeon Gold 6348R</td>
<td>A10 (8EA)</td>
<td>1024GB</td>
<td>2TB</td>
<td>*</td>
</tr>
<tr class="odd">
<td>gpu3</td>
<td>11</td>
<td>56</td>
<td>Intel Xeon Gold 6348R</td>
<td>A10 (4EA)</td>
<td>1024GB</td>
<td>2TB</td>
<td>*</td>
</tr>
<tr class="even">
<td>gpu4</td>
<td>29</td>
<td>56</td>
<td>Intel Xeon Gold 6348R</td>
<td>A6000 (4EA)</td>
<td>1024GB</td>
<td>2TB</td>
<td>*</td>
</tr>
<tr class="odd">
<td>gpu5</td>
<td>6</td>
<td>64</td>
<td>Intel Xeon Platinum-8358</td>
<td>A6000 (4EA)</td>
<td>1024GB</td>
<td>2TB</td>
<td>*</td>
</tr>
</tbody>
</table>
<div style="font-size: 13px;">
※ <em>UBAI는 총 106대의 노드, 총 5,586개의 CPU 코어와, 그래픽카드 RTX3090 52대, A10 144대, A6000 140대를 제공합니다.</em>
</div>
<p><br></p>
<p>Terminal에서 Partition 목록을 확인하기 위해서는 다음과 같은 명령어를 입력하세요.</p>
<p><strong>입력 명령어</strong></p>
<div class="cell">
<div class="sourceCode cell-code" id="cb3"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="ex">sinfo</span> <span class="at">-o</span> <span class="st">"%10P %5D %14F %4c %14G %N"</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<p><strong>출력 예시</strong></p>
<div class="cell">
<div class="sourceCode cell-code" id="cb4"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a><span class="ex">PARTITION</span> NODES NODES<span class="er">(</span><span class="ex">A/I/O/T</span><span class="kw">)</span> <span class="ex">CPUS</span> GRES NODELIST</span>
<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a><span class="ex">gpu1</span> 13 10/3/0/13 48 gpu:rtx3090:4 n<span class="pp">[</span><span class="ss">001</span><span class="pp">-</span><span class="ss">013</span><span class="pp">]</span></span>
<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a><span class="ex">cpu1</span> 35 16/19/0/35 48 <span class="er">(</span><span class="ex">null</span><span class="kw">)</span> <span class="va">n</span><span class="op">[</span><span class="dv">014</span>-048<span class="op">]</span></span>
<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a><span class="ex">hgx</span> 1 0/0/1/1 48 gpu:hgx:8 n050</span>
<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a><span class="ex">gpu2</span> 32 26/6/0/32 56 gpu:a10:4 n<span class="pp">[</span><span class="ss">051</span><span class="pp">-</span><span class="ss">070,073</span><span class="pp">-</span><span class="ss">080,083</span><span class="pp">-</span><span class="ss">086</span><span class="pp">]</span></span>
<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a><span class="ex">cpu2</span> 14 14/0/0/14 56 <span class="er">(</span><span class="ex">null</span><span class="kw">)</span> <span class="va">n</span><span class="op">[</span><span class="dv">087</span>-100<span class="op">]</span></span>
<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a><span class="ex">cpu3</span> 6 4/2/0/6 64 <span class="er">(</span><span class="ex">null</span><span class="kw">)</span> <span class="va">n</span><span class="op">[</span><span class="dv">101</span>-106<span class="op">]</span></span>
<span id="cb4-8"><a href="#cb4-8" aria-hidden="true" tabindex="-1"></a><span class="bu">test</span> 4 0/4/0/4 56 gpu:a10:4 n<span class="pp">[</span><span class="ss">071</span><span class="pp">-</span><span class="ss">072,081</span><span class="pp">-</span><span class="ss">082</span><span class="pp">]</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<p>모든 사용자는 모든 파티션에 대해 MaxJobs(최대 수행 작업 수) 10, MaxSubmit(최대 작업 제출 수) 20, MaxWall(작업 당 최대 수행 시간) 2일로 제한이 걸려있습니다.</p>
<table class="caption-top table">
<thead>
<tr class="header">
<th><strong>Partition</strong></th>
<th><strong>MaxJobs</strong></th>
<th><strong>MaxSubmit</strong></th>
<th><strong>MaxWall</strong></th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>*</td>
<td>10</td>
<td>20</td>
<td>2-00:00:00</td>
</tr>
</tbody>
</table>
</section>
<section id="사사의-글-안내" class="level2 unnumbered">
<h2 class="unnumbered anchored" data-anchor-id="사사의-글-안내">사사의 글 안내</h2>
<p>📌 도시과학빅데이터AI연구원의 슈퍼컴퓨터 자원을 이용하신 분들은 논문, 프로젝트, 통계 등 실적에 다음과 같이 연구원 사사를 적어주시기 바랍니다.</p>
<p><strong>(국문) 본 논문은 서울시립대학교 도시과학빅데이터AI연구원의 슈퍼컴퓨팅 자원을 지원 받아 수행되었습니다.</strong></p>
<p><strong>(영문) The authors acknowledge the Urban Big data and AI Institute of the University of Seoul supercomputing resources (http://ubai.uos.ac.kr) made available for conducting the research reported in this paper.</strong></p>
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