软件包:libcusparse12(12.1.1.53~12.2.0-1 以及其他的) [non-free]
libcusparse12 的相关链接
Debian 的资源:
下载源码包 nvidia-cuda-toolkit:
- [nvidia-cuda-toolkit_12.2.0-1.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]
维护小组:
外部的资源:
- 主页 [developer.nvidia.com]
相似软件包:
试制(Experimental)软件包
警告:这个软件包来自于 experimental 发行版。这表示它很有可能表现出不稳定或者出现 bug ,甚至是导致资料损失。请务必在使用之前查阅 changelog 以及其他潜在的文档。
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
|
|
|
|
-
- 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
-
- dep: libgcc-s1 (>= 4.2) [除 arm64]
- GCC 支持库
- dep: libgcc-s1 (>= 4.5) [arm64]
-
- dep: libnvjitlink12 (= 12.2.91~12.2.0-1+b1)
- NVIDIA Compiler JIT LTO Library