项目作者: Xilinx

项目描述 :
Vitis Model Composer Examples and Tutorials
高级语言: C++
项目地址: git://github.com/Xilinx/Vitis_Model_Composer.git
创建时间: 2020-10-12T14:54:59Z
项目社区:https://github.com/Xilinx/Vitis_Model_Composer

开源协议:

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" class="reference-link">Rapid design exploration using Vitis Model Composer

Within the Simulink environment, Vitis Model Composer offers a range of performance-optimized blocks that facilitate the design and implementation of DSP algorithms on AMD devices. The inclusion of the Vitis Model Composer AI Engine, HLS, and HDL libraries enables efficient algorithm exploration and greatly expedites the path towards production.

To learn more, visit the Vitis Model Composer website.

Where should you start?

Are you interested in accelerating your development effort using Vitis Model Composer? Here is where to start:

  • Review the supported operating systems and MATLAB releases.
  • Learn the basics of Simulink. To use Vitis Model Composer effectively, you need to understand the basics of Simulink,
    a block diagram environment for multidomain simulation and model-based design.
  • Go over to the tutorials. The tutorials will give you a solid understanding of how to use the tool.
  • Browse through many of the examples we have here. You can easily access these examples from within the tool. (Note: Many of the examples require the DSP System Toolbox.)

What’s new in 2024.2?

  • Export AI Engine and PL subsystems as a Vitis Subsystem (VSS).
  • The Filtering in Frequency Domain example shows how to increase AI Engine throughput using different techniques.
  • Working with both AI Engines and PL? See the tutorials showing how to connect the block libraries in Vitis Model Composer.

Tutorials



Examples






" class="reference-link">Quick Guides




Copyright 2024 Advanced Micro Devices, Inc.

Licensed under the Apache License, Version 2.0 (the “License”);
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

  1. http://www.apache.org/licenses/LICENSE-2.0

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