Updated branding and link placement for more consistency

Author: ryanvergel

README.md

@@ -12,7 +12,7 @@
 
 ## Getting Started
 
-Learn how to [develop accelerated applications using SDAccel Development Tools](docs/sdaccel-getting-started/).
+Learn how to [develop accelerated applications using SDAccel™ Environment Development Tools](docs/sdaccel-getting-started/).
 
 [![Pathways](docs/sdaccel-getting-started/images/pathway.png)](docs/sdaccel-getting-started/)
 
@@ -32,7 +32,7 @@ Learn how to [develop accelerated applications using SDAccel Development Tools](
  <tr>
  <td align="center"><a href="docs/mixing-c-rtl-kernels/README.md">Mixing C and RTL</a></td>
  <td align="center">C and RTL</td>
- <td>This tutorial demonstrates working with an application containing RTL and OpenCL™ kernels to familiarize yourself with the SDAccel™ environment flow, along with various design analysis features.</td>
+ <td>This tutorial demonstrates working with an application containing RTL and OpenCL™ kernels to familiarize yourself with the SDAccel environment flow, along with various design analysis features.</td>
  </tr>
  <tr>
  <td align="center"><a href="docs/using-multiple-cu/README.md">Using Multiple Compute Units</a></td>

docs/controlling-vivado-impl/README.md

@@ -18,15 +18,15 @@ The SDAccel™  environment XOCC compiler creates kernel objects from the source
 
 This tutorial shows you how to control the Vivado tool flows when implementing your project and guides you through the steps in the command line flow.
 
-The SDAccel™ environment provides two methods to control the Vivado tool flow:
+The SDAccel environment provides two methods to control the Vivado tool flow:
 
 1. When compiling or linking for a system build, you can pass Vivado synthesis and implementation options using the XOCC `--xp` switch.
 
    >**NOTE:** It can take hours to complete a system run.
 
 2. If your application has already been compiled, then you can:
 
-   * Optimize the design with the Vivado® Design Suite.
+   * Optimize the design with the Vivado Design Suite.
    * Generate a new routed checkpoint.
    * Reuse this checkpoint to generate a new platform file (xclbin).
 
@@ -153,7 +153,7 @@ Starting FPGA bitstream generation.
 
 # Putting it All Together
 
-The following section summarizes all the steps to control Vivado implementation with the XOCC command, optimize design with the Vivado tool, and reuse implemented dcp to generate the platform file. You might use it as a quick reference for commands.
+The following section summarizes all the steps to control Vivado tools implementation with the XOCC command, optimize design with the Vivado tools, and reuse implemented dcp to generate the platform file. You might use it as a quick reference for commands.
 
 1. Set up the environment and working directory.
 

docs/getting-started-rtl-kernels/README.md

@@ -32,7 +32,7 @@ This tutorial provides the following reference files:
   - The host enqueues the RTL kernel (executed on the FPGA), which reads the buffer of the DDR, performs `B[i] = A[i]+B[i]`, and then writes the result back to the DDR.
   - The host reads back the data to compare the results.
 
-Using these reference files, the tutorial will guide you from the first step of creating an SDx™ project to the final step of building and running your project.
+Using these reference files, the tutorial will guide you from the first step of creating an SDx™ environment project to the final step of building and running your project.
 
 # Before You Begin
 

docs/mixing-c-rtl-kernels/README.md

@@ -12,7 +12,7 @@
 
 # Introduction
 
-In the SDAccel™ development environment framework, an application program is split between a host application and hardware accelerated kernels. The host application is developed in C/C++ with OpenCL™ API calls.  The hardware kernels, on the other hand, can be developed in C/C++, OpenCL C, or RTL. In fact, SDAccel applications can use any combination of kernels developed in the different languages. The host code is indifferent to how the kernel was developed; it uses the same function call.
+In the SDAccel™ development environment framework, an application program is split between a host application and hardware accelerated kernels. The host application is developed in C/C++ with OpenCL™ API calls.  The hardware kernels, on the other hand, can be developed in C/C++, OpenCL C, or RTL. In fact, SDAccel environment applications can use any combination of kernels developed in the different languages. The host code is indifferent to how the kernel was developed; it uses the same function call.
 
 # Tutorial Overview
 

docs/my-first-sdaccel-application/building_application.md

@@ -128,8 +128,8 @@ After the functional correctness and host-kernel integration has been verified u
 1. For hardware, rebuild the kernels using the `-t hw` XOCC option.
 
    ```bash
-   xocc -t hw_emu --platform xilinx_u200_xdma_201830_1 -g -c -k vadd -I'../src' -o'vadd.xilinx_u200_xdma_201830_1.xo' './src/vadd.cpp'
-   xocc -t hw_emu --platform xilinx_u200_xdma_201830_1 -g -l --nk vadd:1:vadd_1 -o'vadd.xilinx_u200_xdma_201830_1.xclbin' vadd.xilinx_u200_xdma_201830_1.xo
+   xocc -t hw --platform xilinx_u200_xdma_201830_1 -g -c -k vadd -I'../src' -o'vadd.xilinx_u200_xdma_201830_1.xo' './src/vadd.cpp'
+   xocc -t hw --platform xilinx_u200_xdma_201830_1 -g -l --nk vadd:1:vadd_1 -o'vadd.xilinx_u200_xdma_201830_1.xclbin' vadd.xilinx_u200_xdma_201830_1.xo
    ```
 
 2. Ensure the environment variable XCL_EMULATION_MODE is not set.

docs/sdaccel-execution-model/README.md

@@ -38,7 +38,9 @@ The SDAccel environment execution model can be broken down into the following st
 
 ## Next Steps
 
-Install and configure a development system to write and build host programs and hardware kernels using the SDAccel development environment. Install and configure the Alveo accelerator cards in development, or deployment systems. [Read more...](/docs/alveo-getting-started/)
+Install and configure a development system to write and build host programs and hardware kernels using the SDAccel development environment. Install and configure the Alveo accelerator cards in development, or deployment systems.
+
+[Read more...](/docs/alveo-getting-started/)
 
 </br>
 <hr/>

docs/sdaccel-getting-started/README.md

@@ -18,11 +18,15 @@
 
 ### 1. Programming and Execution Model
 
-In the SDAccel™ environment framework, an application is split into a host program and hardware accelerated kernels, with a communication channel between them for data transfer. The host application, written in C/C++ and using API calls like OpenCL, runs on an x86 server; the hardware accelerated kernels run within the Xilinx FPGA on an Alveo accelerator card. [Read more...](/docs/sdaccel-execution-model/)
+In the SDAccel™ environment framework, an application is split into a host program and hardware accelerated kernels, with a communication channel between them for data transfer. The host application, written in C/C++ and using API calls like OpenCL™, runs on an x86 server; the hardware accelerated kernels run within the Xilinx FPGA on an Alveo™ Data Center accelerator card. 
+
+[Read more...](/docs/sdaccel-execution-model/)
 
 ### 2. Setting up the Alveo Accelerator Cards and SDAccel Tools
 
-Xilinx® Alveo™ Data Center accelerator cards provide compute acceleration performance and flexibility for Data Centers looking to increase throughput. You can install Alveo accelerator cards in deployment systems for running accelerated applications, or in SDAccel development systems, you can develop, debug, and optimize applications running on Alveo accelerator cards. [Read more...](/docs/alveo-getting-started/)
+Alveo Data Center accelerator cards provide compute acceleration performance and flexibility for Data Centers looking to increase throughput. You can install Alveo accelerator cards in deployment systems for running accelerated applications, or in SDAccel development systems, you can develop, debug, and optimize applications running on Alveo accelerator cards. 
+
+[Read more...](/docs/alveo-getting-started/)
 
 ### 3. Building the Accelerated Application - Essential Concepts
 
@@ -50,13 +54,13 @@ In this tutorial, you will learn how to do the following:
 
 [Read more...](/docs/my-first-sdaccel-application/)
 
-### 5. Optimizing Accelerated FPGA Applications - Based on SDAccel Methodology
+### 5. Optimizing Accelerated FPGA Applications — Based on SDAccel Environment Methodology
 
 The methodology for developing optimized accelerated applications is comprised of two major phases: architecting the application, and developing the hardware kernels. In the first phase, you make key decisions about the application architecture by determining which software functions should be accelerated onto FPGA kernels, how much parallelism can be achieved, and how to deliver it in code. In the second phase, you implement the kernels by structuring the source code, and applying the necessary compiler options and pragmas to create the kernel architecture needed to achieve the optimized performance target.
 
 In this tutorial, you will learn how to do the following:
 
-- Create an SDAccel application from the C application.
+- Create an SDAccel environment application from the C application.
 - Optimize memory transfers.
 - Optimize using fixed point data types.
 - Optimize with dataflow.

docs/using-multiple-cu/README.md

@@ -16,7 +16,7 @@ This tutorial demonstrates a flexible kernel linking process to increase the num
 
 # Tutorial Overview
 
-By default, the SDAccel™ tool creates one CU for each kernel. A host program can use the same kernel multiple times for different sets of data. In these cases, it is useful to generate multiple CUs of the kernel to let those CUs run concurrently, and improve the performance of the overall system.  
+By default, the SDAccel™ environment tool creates one CU for each kernel. A host program can use the same kernel multiple times for different sets of data. In these cases, it is useful to generate multiple CUs of the kernel to let those CUs run concurrently, and improve the performance of the overall system.  
 
 For more information, see [Multiple Instances of a Kernel](https://www.xilinx.com/html_docs/xilinx2019_1/sdaccel_doc/pni1524163195211.html#yzb1524519238289) in the _SDAccel Environment Programmers Guide_ ([UG1277](https://www.xilinx.com/html_docs/xilinx2019_1/sdaccel_doc/vno1533881025717.html)).