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[NFC][AMDGPU] Fix stale links to ROCm repositories (llvm#143949)
Following GitHub organizations were merged into the ROCm org:
* ROCm-Developer-Tools
* RadeonOpenCompute
* ROCmSoftwarePlatform
Ensure that all hyperlinks to the old organizations now point to the new
organization at https://github.com/ROCm.
Copy file name to clipboardExpand all lines: clang/docs/HIPSupport.rst
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HIP Support
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=============
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HIP (Heterogeneous-Compute Interface for Portability) `<https://github.com/ROCm-Developer-Tools/HIP>`_ is
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HIP (Heterogeneous-Compute Interface for Portability) `<https://github.com/ROCm/HIP>`_ is
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a C++ Runtime API and Kernel Language. It enables developers to create portable applications for
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offloading computation to different hardware platforms from a single source code.
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.. note::
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While Clang does not directly provide HIP support for NVIDIA GPUs and CPUs, these platforms are supported via other means:
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- NVIDIA GPUs: HIP support is offered through the HIP project `<https://github.com/ROCm-Developer-Tools/HIP>`_, which provides a header-only library for translating HIP runtime APIs into CUDA runtime APIs. The code is subsequently compiled using NVIDIA's `nvcc`.
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- NVIDIA GPUs: HIP support is offered through the HIP project `<https://github.com/ROCm/HIP>`_, which provides a header-only library for translating HIP runtime APIs into CUDA runtime APIs. The code is subsequently compiled using NVIDIA's `nvcc`.
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- CPUs: HIP support is available through the HIP-CPU runtime library `<https://github.com/ROCm-Developer-Tools/HIP-CPU>`_. This header-only library enables CPUs to execute unmodified HIP code.
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- CPUs: HIP support is available through the HIP-CPU runtime library `<https://github.com/ROCm/HIP-CPU>`_. This header-only library enables CPUs to execute unmodified HIP code.
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Example Usage
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maps relatively well to the execution model of AMD GPUs. This, coupled with the
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the availability and maturity of GPU accelerated algorithm libraries that
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implement most / all corresponding algorithms in the standard library
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(e.g. `rocThrust <https://github.com/ROCmSoftwarePlatform/rocThrust>`__), makes
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(e.g. `rocThrust <https://github.com/ROCm/rocm-libraries/tree/develop/projects/rocthrust>`__), makes
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it feasible to provide seamless accelerator offload for supported algorithms,
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when an accelerated version exists. Thus, it becomes possible to easily access
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the computational resources of an AMD accelerator, via a well specified,
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allocation / deallocation functions with accelerator-aware equivalents,
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based on a pre-established table; the list of functions that can be
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