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33 lines
1.7 KiB
ReStructuredText
33 lines
1.7 KiB
ReStructuredText
.. meta::
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:description: Porting from CUDA to hipSPARSELt
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:keywords: hipSPARSELt, ROCm, porting from CUDA, porting
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.. _porting:
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**********************************************************************
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Porting from NVIDIA CUDA to hipSPARSELt
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**********************************************************************
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The hipSPARSELt interface is compatible with cuSPARSELt APIs. Porting a CUDA application that
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originally calls the cuSPARSELt API to an application that calls the hipSPARSELt API should be relatively
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straightforward.
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For example, the hipSPARSELt matrix multiplication interface in the API is:
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.. code-block:: c
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hipsparseStatus_t hipsparseLtMatmul(const hipsparseLtHandle_t* handle,
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const hipsparseLtMatmulPlan_t* plan,
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const void* alpha,
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const void* d_A,
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const void* d_B,
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const void* beta,
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const void* d_C,
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void* d_D,
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void* workspace,
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hipStream_t* streams,
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int32_t numStreams);
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hipSPARSELt assumes matrices ``A``, ``B``, ``C``, ``D``, and ``workspace`` are allocated in the GPU memory space and filled with
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data. Users are responsible for copying data to and from the host and device memory.
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