[ trixie ]
[ sid ]
[ ソース: nvidia-cuda-toolkit ]
パッケージ: libcusparse12 (12.1.0.106~12.1.1-1) [non-free]
libcusparse12 に関するリンク
Debian の資源:
nvidia-cuda-toolkit ソースパッケージをダウンロード:
- [nvidia-cuda-toolkit_12.1.1-1.dsc]
- [nvidia-cuda-toolkit_12.1.1.orig-amd64.tar.xz]
- [nvidia-cuda-toolkit_12.1.1.orig-arm64.tar.xz]
- [nvidia-cuda-toolkit_12.1.1.orig-openjdk-8-jre-amd64-8u412-ga-1.tar.xz]
- [nvidia-cuda-toolkit_12.1.1.orig-openjdk-8-jre-ppc64el-8u412-ga-1.tar.xz]
- [nvidia-cuda-toolkit_12.1.1.orig-openjdk-8-source-8u412-ga-1.tar.xz]
- [nvidia-cuda-toolkit_12.1.1.orig-ppc64el.tar.xz]
- [nvidia-cuda-toolkit_12.1.1.orig.tar.xz]
- [nvidia-cuda-toolkit_12.1.1-1.debian.tar.xz]
メンテナ:
外部の資源:
- ホームページ [developer.nvidia.com]
類似のパッケージ:
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.
その他の libcusparse12 関連パッケージ
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- dep: libc6 (>= 2.34)
- GNU C ライブラリ: 共有ライブラリ
以下のパッケージによって提供される仮想パッケージでもあります: libc6-udeb
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- dep: libgcc-s1 (>= 4.2)
- GCC 共有ライブラリ
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- dep: libnvjitlink12 (= 12.1.105~12.1.1-1)
- NVIDIA Compiler JIT LTO Library