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Copy file name to clipboardexpand all lines: README.md
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functions and thus has very low overhead - developers coding in HIP should expect the same performance as coding in native CUDA. The code is then
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compiled with nvcc, the standard C++ compiler provided with the CUDA SDK. Developers can use any tools supported by the CUDA SDK including the CUDA
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profiler and debugger.
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* On the AMD ROCm platform, HIP provides a header and runtime library built on top of HIP-Clang compiler in the repository [Common Language Runtime (CLR)](https://github.com/ROCm/clr). The HIP runtime implements HIP streams, events, and memory APIs,
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* On the AMD ROCm platform, HIP provides a header and runtime library built on top of HIP-Clang compiler in the repository [Compute Language Runtime (CLR)](https://github.com/ROCm/clr). The HIP runtime implements HIP streams, events, and memory APIs,
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and is a object library that is linked with the application. The source code for all headers and the library implementation is available on GitHub.
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HIP developers on ROCm can use AMD's [ROCgdb](https://github.com/ROCm/ROCgdb) for debugging and profiling.
Copy file name to clipboardexpand all lines: docs/how-to/faq.md
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## What is AMD clr?
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AMD [Common Language Runtime (CLR)](https://github.com/ROCm/clr) is a repository for the AMD platform, which contains source codes for AMD's compute languages runtimes as follows,
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AMD [Compute Language Runtime (CLR)](https://github.com/ROCm/clr) is a repository for the AMD platform, which contains source codes for AMD's compute languages runtimes as follows,
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* hipamd - contains implementation of HIP language for AMD GPU.
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* rocclr - contains virtual device interfaces that compute runtimes interact with backends, such as ROCr on Linux and PAL on Windows.
On AMD platform, HIP uses Radeon Open Compute Common Language Runtime, called ROCclr.
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On AMD platform, HIP uses ROCm Compute Language Runtime, called ROCclr.
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ROCclr is a virtual device interface that HIP runtimes interact with different backends which allows runtimes to work on Linux , as well as Windows without much efforts.
Copy file name to clipboardexpand all lines: docs/index.md
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The CUDA enabled NVIDIA GPUs are supported by HIP. For more information, see [GPU Compute Capability](https://developer.nvidia.com/cuda-gpus).
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On the AMD ROCm platform, HIP provides header files and runtime library built on top of HIP-Clang compiler in the repository [Common Language Runtime (CLR)](./understand/amd_clr), which contains source codes for AMD's compute languages runtimes as follows,
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On the AMD ROCm platform, HIP provides header files and runtime library built on top of HIP-Clang compiler in the repository [Compute Language Runtime (CLR)](./understand/amd_clr), which contains source codes for AMD's compute languages runtimes.
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On non-AMD platforms, like NVIDIA, HIP provides header files required to support non-AMD specific back-end implementation in the repository ['hipother'](https://github.com/ROCm/hipother), which translates from the HIP runtime APIs to CUDA runtime APIs.
CLR contains source codes for AMD's compute languages runtimes: ``HIP`` and ``OpenCL™``.
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* ``opencl`` - contains implementation of `OpenCL™ <https://www.khronos.org/opencl/>`_ on AMD platform. It is hosted at `clr/opencl <https://github.com/ROCm/clr/tree/develop/opencl>`_.
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* ``rocclr`` - contains common runtime used in `HIP` and `OpenCL™`. This is hosted at `clr/rocclr <https://github.com/ROCm/clr/tree/develop/rocclr>`_.
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* ``rocclr`` - contains ROCm compute runtime used in `HIP` and `OpenCL™`. This is hosted at `clr/rocclr <https://github.com/ROCm/clr/tree/develop/rocclr>`_.
Copy file name to clipboardexpand all lines: docs/understand/glossary.md
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***HIP-Clang** - Heterogeneous AMDGPU Compiler, with its capability to compile HIP programs on AMD platform (https://github.com/RadeonOpenCompute/llvm-project).
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***clr** - a repository for AMD Common Language Runtime, contains source codes for AMD's compute languages runtimes: HIP and OpenCL.
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***clr** - a repository for AMD Compute Language Runtime, contains source codes for AMD's compute languages runtimes: HIP and OpenCL.
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clr (https://github.com/ROCm/clr) contains the following three parts,
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*`hipamd`: contains implementation of HIP language on AMD platform.
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