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ezhulenev/README.md

Hi there 👋

I'm a core OpenXLA contributor at Google. Leading a small but mighty team that makes sure that XLA works great on modern CPUs (x86 and ARM) and serves millions of QPS at Google. Also work on XLA:GPU to make it fastest ML compiler on latest NVIDIA GPUs and make it utilize all the latest and greatest features CUDA has to offer. Building heterogeneous TPU/GPU + CPU compiler for mixing device-acceleterated and host computations, all from a single JAX program!

GitHub stats GitHub streak

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  1. openxla/xla openxla/xla Public

    A machine learning compiler for GPUs, CPUs, and ML accelerators

    C++ 3.7k 686

  2. jax-ml/jax jax-ml/jax Public

    Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

    Python 34k 3.2k

  3. triton-lang/triton triton-lang/triton Public

    Development repository for the Triton language and compiler

    MLIR 17.5k 2.4k

  4. llvm/llvm-project llvm/llvm-project Public

    The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

    LLVM 35.4k 15.2k

  5. iree-org/iree iree-org/iree Public

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

    C++ 3.5k 791

  6. tensorflow/tensorflow tensorflow/tensorflow Public

    An Open Source Machine Learning Framework for Everyone

    C++ 192k 75k