Data Science

Using OpenGL instead of CUDA for machine learning

CommunityNews

CommunityNews

Using OpenGL instead of CUDA for machine learning

Summary

In this project, we

  1. Added an OpenGL backend for MXNet/TVM - a general-purpose tensor computation framework, so that it automatically compiles a Python program into an OpenGL shader that runs on the GPU on a computer that does not have CUDA.

  2. Explored optimizations of OpenGL shader programs so that a fundamental computation task needed in machine learning - matrix multiplication - has comparable performance with OpenCL on the same machine.

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