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@ROCm

AMD ROCm™ Software

README.md

AMD ROCm™ Software

AMD ROCm software is AMD's Open Source stack for GPU computation.

To learn more about ROCm, check out our Documentation, Examples, and Developer Hub.

If you have questions or need help, reach out to us on GitHub.

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  1. ROCm ROCm Public

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  2. hip hip Public

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  3. MIOpen MIOpen Public

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  4. tensorflow-upstream tensorflow-upstream Public

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  6. ROCm-docker ROCm-docker Public

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Repositories

Showing 10 of 313 repositories
  • ROCm Public

    AMD ROCm™ Software - GitHub Home

    Shell 5,179 MIT 426 144 15 Updated Apr 15, 2025
  • rocSHMEM Public

    rocSHMEM intra-kernel networking runtime for AMD dGPUs on the ROCm platform.

    C++ 76 16 8 6 Updated Apr 15, 2025
  • rocprofiler-sdk Public
    C++ 23 MIT 15 9 8 Updated Apr 15, 2025
  • hipSPARSE Public

    ROCm SPARSE marshalling library

    C++ 67 MIT 44 2 4 Updated Apr 15, 2025
  • composable_kernel Public

    Composable Kernel: Performance Portable Programming Model for Machine Learning Tensor Operators

    C++ 376 172 34 (1 issue needs help) 74 Updated Apr 15, 2025
  • llvm-project Public Forked from llvm/llvm-project

    This is the AMD-maintained fork of the LLVM git repository. This repository accepts pull requests and issues related to AMD fork-specific topics (amd/*). For all other issues/PRs, please submit upstream at https://github.com/llvm/llvm-project.

    LLVM 142 13,463 16 5 Updated Apr 15, 2025
  • rocm-blogs Public
    Jupyter Notebook 56 14 1 2 Updated Apr 15, 2025
  • hipBLASLt Public

    hipBLASLt is a library that provides general matrix-matrix operations with a flexible API and extends functionalities beyond a traditional BLAS library

    Assembly 87 MIT 115 14 86 Updated Apr 15, 2025
  • pytorch Public Forked from pytorch/pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Python 223 24,463 55 50 Updated Apr 15, 2025
  • hipTensor Public

    AMD’s C++ library for accelerating tensor primitives

    C++ 39 MIT 22 1 3 Updated Apr 15, 2025
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