Package: libcusparse12 (12.1.1.53~12.2.0-1 and others) [non-free]

[ Source: nvidia-cuda-toolkit  ]

Experimental package

Warning: This package is from the experimental distribution. That means it is likely unstable or buggy, and it may even cause data loss. Please be sure to consult the changelog and other possible documentation before using it.

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.

Other Packages Related to libcusparse12

• dep: libc6 (>= 2.34)

  GNU C Library: Shared libraries
  also a virtual package provided by libc6-udeb

• dep: libgcc-s1 (>= 4.2) [not arm64]

  GCC support library

  dep: libgcc-s1 (>= 4.5) [arm64]

• dep: libnvjitlink12 (= 12.2.91~12.2.0-1+b1)

  NVIDIA Compiler JIT LTO Library

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Architecture	Version	Package Size	Installed Size	Files
amd64	12.1.1.53~12.2.0-1+b1	104,426.6 kB	257,397.0 kB	[list of files]
arm64	12.1.1.53~12.2.0-1+b1	106,149.6 kB	254,147.0 kB	[list of files]
ppc64el	12.1.1.53~12.2.0-1+b1	104,015.4 kB	256,599.0 kB	[list of files]