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ROCm/docs/reference/libraries/gpu-libraries/math-linear-algebra.md
2023-09-18 12:26:31 -06:00

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Linear algebra libraries

ROCm libraries for linear algebra are as follows:

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:::{grid-item-card} {doc}rocBLAS <rocblas:index>

rocBLAS is an AMD GPU optimized library for BLAS (Basic Linear Algebra Subprograms).

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:::{grid-item-card} {doc}hipBLAS <hipblas:index>

hipBLAS is a compatibility layer for GPU accelerated BLAS optimized for AMD GPUs via rocBLAS and rocSOLVER. hipBLAS allows for a common interface for other GPU BLAS libraries.

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:::{grid-item-card} {doc}hipBLASLt <hipblaslt:index>

hipBLASLt is a library that provides general matrix-matrix operations with a flexible API and extends functionalities beyond traditional BLAS library. hipBLASLt is exposed APIs in HIP programming language with an underlying optimized generator as a back-end kernel provider.

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:::{grid-item-card} {doc}rocALUTION <rocalution:index>

rocALUTION is a sparse linear algebra library with focus on exploring fine-grained parallelism on top of AMD's ROCm runtime and toolchains, targeting modern CPU and GPU platforms.

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:::{grid-item-card} {doc}rocWMMA <rocwmma:index>

rocWMMA provides an API to break down mixed precision matrix multiply-accumulate (MMA) problems into fragments and distributes these over GPU wavefronts.

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:::{grid-item-card} {doc}rocSOLVER <rocsolver:index>

rocSOLVER provides a subset of LAPACK (Linear Algebra Package) functionality on the ROCm platform.

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:::{grid-item-card} {doc}hipSOLVER <hipsolver:index>

hipSOLVER is a LAPACK marshalling library supporting both rocSOLVER and cuSOLVER as backends whilst exporting a unified interface.

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:::{grid-item-card} {doc}rocSPARSE <rocsparse:index>

rocSPARSE is a library to provide BLAS for sparse computations.

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:::{grid-item-card} {doc}hipSPARSE <hipsparse:index>

hipSPARSE is a marshalling library to provide sparse BLAS functionality, supporting both rocSPARSE and cuSPARSE as backends.

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:::{grid-item-card} {doc}hipSPARSELt <hipsparselt:index>

hipSPARSE is a marshalling library to provide sparse BLAS functionality, supporting both rocSPARSELt and cuSPARSELt as backends.

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