Linear Algebra Libraries#
2023-09-05
5 min read time
ROCm libraries for linear algebra are as follows:
rocBLAS is an AMD GPU optimized library for BLAS (Basic Linear Algebra Subprograms).
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.
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.
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.
rocWMMA provides an API to break down mixed precision matrix multiply-accumulate
(MMA) problems into fragments and distributes these over GPU wavefronts.
rocSOLVER provides a subset of LAPACK (Linear Algebra Package) functionality on the ROCm platform.
hipSOLVER is a LAPACK marshalling library supporting both rocSOLVER and cuSOLVER
as backends whilst exporting a unified interface.
rocSPARSE is a library to provide BLAS for sparse computations.
hipSPARSE is a marshalling library to provide sparse BLAS functionality,
supporting both rocSPARSE and cuSPARSE as backends.
hipSPARSE is a marshalling library to provide sparse BLAS functionality,
supporting both rocSPARSELt and cuSPARSELt as backends.