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Package: libcusparse6.0 (6.0.37-5) [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 32,031.8 kB37,076.0 kB [list of files]
i386 29,027.1 kB34,028.0 kB [list of files]