[ Source: nvidia-cuda-toolkit ]
Package: libcusparse11 (11.7.5.86~11.8.0-5) [non-free]
Links for libcusparse11
Debian Resources:
Download Source Package nvidia-cuda-toolkit:
- [nvidia-cuda-toolkit_12.0.1-5.dsc]
- [nvidia-cuda-toolkit_12.0.1.orig-amd64.tar.xz]
- [nvidia-cuda-toolkit_12.0.1.orig-arm64.tar.xz]
- [nvidia-cuda-toolkit_12.0.1.orig-openjdk-8-jre-amd64-8u402-ga-2.tar.xz]
- [nvidia-cuda-toolkit_12.0.1.orig-openjdk-8-jre-ppc64el-8u402-ga-2.tar.xz]
- [nvidia-cuda-toolkit_12.0.1.orig-openjdk-8-source-8u402-ga-2.tar.xz]
- [nvidia-cuda-toolkit_12.0.1.orig-ppc64el.tar.xz]
- [nvidia-cuda-toolkit_12.0.1.orig.tar.xz]
- [nvidia-cuda-toolkit_12.0.1-5.debian.tar.xz]
Maintainers:
External Resources:
- Homepage [developer.nvidia.com]
Similar packages:
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 denseformat
* Level 2: operations between a matrix in sparse format and a vector in denseformat
* Level 3: operations between a matrix in sparse format and a set of vectorsin dense format
* Conversion: operations that allow conversion between different matrixformats
This package contains the cuSPARSE runtime library.
Other Packages Related to libcusparse11
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- dep: libc6 (>= 2.34)
- GNU C könyvtár: megosztott könyvtárak
also a virtual package provided by libc6-udeb
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- dep: libgcc-s1 (>= 4.2)
- GCC támogató programkönyvtár
Download libcusparse11
| Architecture | Package Size | Installed Size | Files |
|---|---|---|---|
| amd64 | 113,043.4 kB | 273,449.0 kB | [list of files] |