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[ Source: nvidia-cuda-toolkit  ]

Package: libcusparse11 (11.7.5.86~11.8.0-5~deb12u1) [non-free]

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NVIDIA cuSPARSE Library

The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation.

The cuSPARSE library contains a set of basic linear algebra subroutines used for handling sparse matrices. It is implemented on top of the NVIDIA CUDA runtime and is designed to be called from C and C++. The library routines can be classified into four categories:

 * Level 1: operations between a vector in sparse format and a vector in dense
format
 * Level 2: operations between a matrix in sparse format and a vector in dense
format
 * Level 3: operations between a matrix in sparse format and a set of vectors
in dense format
 * Conversion: operations that allow conversion between different matrix
formats

This package contains the cuSPARSE runtime library.

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Architecture Package Size Installed Size Files
amd64 113,041.1 kB273,449.0 kB [list of files]
arm64 112,691.1 kB270,443.0 kB [list of files]
ppc64el 112,970.1 kB272,747.0 kB [list of files]