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Is it practical to run machine learning algorithms in parallel with this? I could imagine people loading a webpage to take part in a massive open source traini

• bhouston 4y ago
  Google’s main tensor flow library for the browser runs fastest with its webgl2 backend as compared to cpu so I suspect running it on webgpu is possible and maybe preferred. That said there is a WebNN api that should eventually expose neural network accelerator chips which should be faster and more efficient than GPU at some point.
• why_only_15 4y ago
  Looks like no -- there appears to be no tensor core or similar support and this SGEMM (fp32 matrix multiply) benchmark gets awful results (my laptop gets 330 gflops on this when it should be capable of 13000 gflops fp32 and probably 100000 gflops fp16). https://github.com/milhidaka/webgpu-blas https://github.com/milhidaka/webgpu-blas