libcusparse11 binary package in Ubuntu Kinetic arm64
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.
Publishing history
| Date | Status | Target | Component | Section | Priority | Phased updates | Version | ||
|---|---|---|---|---|---|---|---|---|---|
| 2022-09-12 22:58:49 UTC | Published | Ubuntu Kinetic arm64 | release | multiverse | libs | Optional | 11.7.0.107~11.5.2-1ubuntu1 | ||
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| Deleted | Ubuntu Kinetic arm64 | proposed | multiverse | libs | Optional | 11.7.0.107~11.5.2-1ubuntu1 | |||
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| 2022-09-12 23:00:33 UTC | Superseded | Ubuntu Kinetic arm64 | release | multiverse | libs | Optional | 11.7.0.107~11.5.1-1ubuntu1 | ||
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