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Explore the work done and remaining challenges in enabling Tensorflow deployment on open source Mesa drivers in this 43-minute conference talk from linux.conf.au 2020. Delve into the use of SYCL via LLVM and OpenCL, as well as efforts to enable OpenCL on a broader range of hardware. Learn about alternatives to the closed-source NVIDIA stack for AI/Machine Learning applications using GPUs, with a focus on open-source solutions. Gain insights into the ICON backend, execution methods, Vulkan shaders vs. kernels, the One API initiative, and the current state of open-source GPU compute for AI/ML frameworks.
Syllabus
Introduction
Outline
Tensorflow
ICON
Building
Backend
Execution
OpenCL
Vulcan
Shader vs Kernel
One API initiative
Sickle
Level Zero
Current State
Malcolm in the Middle
Clover OpenCL
Conclusion
Taught by
linux.conf.au