[ trixie ]
[ sid ]
[ 源代码： nvidia-cuda-toolkit ]
软件包：libcusparse12（12.1.1.53~12.2.0-3） [non-free]
libcusparse12 的相关链接
Debian 的资源：
下载源码包 nvidia-cuda-toolkit：
- [nvidia-cuda-toolkit_12.2.0-3.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-amd64-8u422-b05-1.tar.xz]
- [nvidia-cuda-toolkit_12.2.0.orig-openjdk-8-jre-ppc64el-8u422-b05-1.tar.xz]
- [nvidia-cuda-toolkit_12.2.0.orig-openjdk-8-source-8u422-b05-1.tar.xz]
- [nvidia-cuda-toolkit_12.2.0.orig-ppc64el.tar.xz]
- [nvidia-cuda-toolkit_12.2.0.orig.tar.xz]
- [nvidia-cuda-toolkit_12.2.0-3.debian.tar.xz]
维护小组：
外部的资源：
- 主页 [developer.nvidia.com]
相似软件包：
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.
其他与 libcusparse12 有关的软件包
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- dep: libc6 (>= 2.34)
- GNU C 语言运行库：共享库
同时作为一个虚包由这些包填实： libc6-udeb
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- dep: libgcc-s1 (>= 4.2) [除 arm64]
- GCC 支持库
- dep: libgcc-s1 (>= 4.5) [arm64]
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- dep: libnvjitlink12 (= 12.2.91~12.2.0-3)
- NVIDIA Compiler JIT LTO Library