Nvidia H200 Tensor Core GPU

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • stablehlo

    Backward compatible ML compute opset inspired by HLO/MHLO

  • I am going to paste a cousin comment:

    StableHLO[1] is an interesting project that might help AMD here:

    > Our goal is to simplify and accelerate ML development by creating more interoperability between various ML frameworks (such as TensorFlow, JAX and PyTorch) and ML compilers (such as XLA and IREE).

    From there, their goal would most likely be to work with XLA/OpenXLA teams on XLA[3] and IREE[2] to make RoCM a better backend.

    [1] https://github.com/openxla/stablehlo

    [2] https://github.com/openxla/iree

    [3] https://www.tensorflow.org/xla

  • iree

    A retargetable MLIR-based machine learning compiler and runtime toolkit.

  • I am going to paste a cousin comment:

    StableHLO[1] is an interesting project that might help AMD here:

    > Our goal is to simplify and accelerate ML development by creating more interoperability between various ML frameworks (such as TensorFlow, JAX and PyTorch) and ML compilers (such as XLA and IREE).

    From there, their goal would most likely be to work with XLA/OpenXLA teams on XLA[3] and IREE[2] to make RoCM a better backend.

    [1] https://github.com/openxla/stablehlo

    [2] https://github.com/openxla/iree

    [3] https://www.tensorflow.org/xla

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  • glare-core

    C++ code used in various Glare Tech Ltd products

  • Yes, even ~2012 OpenCL code works incredibly well today for spectral path tracing: https://indigorenderer.com/indigobench

    Also my fractal software incl OpenCL multi-GPU / mixed plaftorm rendering: https://chaoticafractals.com/

    Both work on [ Nvidia, AMD, Intel, Apple ] x [ CPU, GPU ].

    Some of the shared code here: https://github.com/glaretechnologies/glare-core

    Don't let anyone tell you OpenCL is dead! Keep writing OpenCL software!!!!1 voice breaks

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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