[ bullseye ]
[ bookworm ]
[ 原始碼： nvidia-cuda-toolkit ]
套件：libcusparse11（11.4.1.1152~11.2.2-3+deb11u3） [non-free]
libcusparse11 的相關連結
Debian 的資源：
下載原始碼套件 nvidia-cuda-toolkit：
- [nvidia-cuda-toolkit_11.2.2-3+deb11u3.dsc]
- [nvidia-cuda-toolkit_11.2.2.orig-amd64.tar.xz]
- [nvidia-cuda-toolkit_11.2.2.orig-arm64.tar.xz]
- [nvidia-cuda-toolkit_11.2.2.orig-openjdk-8-jre-amd64-8u332-ga-1-d9u1.tar.xz]
- [nvidia-cuda-toolkit_11.2.2.orig-openjdk-8-jre-ppc64el-8u302-b08-1.tar.xz]
- [nvidia-cuda-toolkit_11.2.2.orig-openjdk-8-source-8u302-b08-1.tar.xz]
- [nvidia-cuda-toolkit_11.2.2.orig-openjdk-8-source-8u332-ga-1-d9u1.tar.xz]
- [nvidia-cuda-toolkit_11.2.2.orig-ppc64el.tar.xz]
- [nvidia-cuda-toolkit_11.2.2.orig.tar.xz]
- [nvidia-cuda-toolkit_11.2.2-3+deb11u3.debian.tar.xz]
維護小組：
外部的資源：
- 主頁 [developer.nvidia.com]
相似套件：
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 libcusparse11 有關的套件
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- dep: libc6 (>= 2.17) [除 amd64]
- 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
- dep: libc6 (>= 2.3.3) [amd64]
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- dep: libgcc-s1 (>= 3.0)
- GCC 支援函式庫
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- dep: libstdc++6 (>= 4.1.1) [arm64]
- GNU Standard C++ Library v3
- dep: libstdc++6 (>= 4.3) [amd64]
- dep: libstdc++6 (>= 4.8) [ppc64el]