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Study mode:
on
1
Introduction
2
Outline
3
Tensorflow
4
ICON
5
Building
6
Backend
7
Execution
8
OpenCL
9
Vulcan
10
Shader vs Kernel
11
One API initiative
12
Sickle
13
Level Zero
14
Current State
15
Malcolm in the Middle
16
Clover OpenCL
17
Conclusion
Description:
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.

Tensorflow on Open Source GPUs

linux.conf.au
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