[ 源代码： nvidia-cuda-toolkit ]
软件包：nvidia-cuda-toolkit-doc（11.2.2-3+deb11u3） [non-free]
nvidia-cuda-toolkit-doc 的相关链接
Debian 的资源：
下载源码包 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]
维护小组：
外部的资源：
- 主页 [docs.nvidia.com]
相似软件包：
NVIDIA CUDA and OpenCL documentation
The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation.
OpenCL (Open Computing Language) is a multi-vendor open standard for general-purpose parallel programming of heterogeneous systems that include CPUs, GPUs and other processors.
Note that CUDA documentation is no longer bundled with CUDA toolkit releases. Visit https://docs.nvidia.com/cuda for the latest documentation on CUDA.
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