Package: libcusparse12 (12.1.0.106~12.1.1-1 and others) [non-free]

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Download Source Package nvidia-cuda-toolkit:

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Homepage [developer.nvidia.com]

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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.

Other Packages Related to libcusparse12

depends

recommends

suggests

enhances

dep: libc6 (>= 2.34)

GNU C könyvtár: megosztott könyvtárak
also a virtual package provided by libc6-udeb
dep: libgcc-s1 (>= 4.2)

GCC támogató programkönyvtár
dep: libnvjitlink12 (= 12.1.105~12.1.1-1+b1)

NVIDIA Compiler JIT LTO Library

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Architecture	Version	Package Size	Installed Size	Files
amd64	12.1.0.106~12.1.1-1+b1	105,262.4 kB	258,761.0 kB	[list of files]