套件:libcusparse12(12.1.1.53~12.2.0-1 以及其他的) [non-free]
libcusparse12 的相關連結
Debian 的資源:
下載原始碼套件 nvidia-cuda-toolkit:
- [nvidia-cuda-toolkit_12.2.0-1.dsc]
- [nvidia-cuda-toolkit_12.2.0.orig-amd64.tar.xz]
- [nvidia-cuda-toolkit_12.2.0.orig-arm64.tar.xz]
- [nvidia-cuda-toolkit_12.2.0.orig-openjdk-8-jre-amd64-8u412-ga-1.tar.xz]
- [nvidia-cuda-toolkit_12.2.0.orig-openjdk-8-jre-ppc64el-8u412-ga-1.tar.xz]
- [nvidia-cuda-toolkit_12.2.0.orig-openjdk-8-source-8u412-ga-1.tar.xz]
- [nvidia-cuda-toolkit_12.2.0.orig-ppc64el.tar.xz]
- [nvidia-cuda-toolkit_12.2.0.orig.tar.xz]
- [nvidia-cuda-toolkit_12.2.0-1.debian.tar.xz]
維護小組:
外部的資源:
- 主頁 [developer.nvidia.com]
相似套件:
試製(Experimental)套件
警告:這個套件來自於 experimental 發行版。這表示它很有可能表現出不穩定或者出現 bug ,甚至是導致資料損失。請務必在使用之前查閱 changelog 以及其他潛在的文件。
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.
其他與 libcusparse12 有關的套件
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- dep: libc6 (>= 2.34)
- GNU C 函式庫:共用函式庫
同時作為一個虛擬套件由這些套件填實: libc6-udeb
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- dep: libgcc-s1 (>= 4.2)
- GCC 支援函式庫
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- dep: libnvjitlink12 (= 12.2.91~12.2.0-1+b1)
- NVIDIA Compiler JIT LTO Library