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[PROJECT] Compiling Machine Learning to WebGPU

From: Tianqi Chen <tqchen@cs.washington.edu>
Date: Thu, 14 May 2020 11:38:36 -0700
Message-ID: <CANBSEKFKNysiCG25LCJ6KBgfAPQwv2LNL8juRFY_487McJ1FmA@mail.gmail.com>
To: public-gpu@w3.org
Hi WebGPU community:

I am sending this along since I think it could be interesting to the
members who are also interested in machine learning.

We recently introduced support for WASM and WebGPU to the Apache TVM deep
learning compiler.
Our pre-liminary experiments shows that TVM’s WebGPU backend can* get close
to native GPU performance* when deploying
deep learning models to the web. Please see the blog here.

https://tvm.apache.org/2020/05/14/compiling-machine-learning-to-webassembly-and-webgpu

I am also wondering if it is possible to link to the blog as an example of
ML On WebGPU in the wiki page(
https://github.com/gpuweb/gpuweb/wiki/Implementation-Status).
As an open source community, we certainly love feedbacks and collaborations

Cheers
TQ
Received on Thursday, 14 May 2020 21:45:31 UTC

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