[ bullseye ]
[ bookworm ]
[ 原始碼： nvidia-cuda-toolkit ]
套件：libnvblas11（11.4.1.1043~11.2.2-3+deb11u3） [non-free]
libnvblas11 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：
NVBLAS runtime library
The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation.
The NVBLAS Library is a GPU-accelerated Library that implements BLAS (Basic Linear Algebra Subprograms). It can accelerate most BLAS Level-3 routines by dynamically routing BLAS calls to one or more NVIDIA GPUs present in the system, when the characteristics of the call make it to speedup on a GPU.
其他與 libnvblas11 有關的套件
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- dep: libc6 (>= 2.17)
- 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: libcublas11 (= 11.4.1.1043~11.2.2-3+deb11u3)
- NVIDIA cuBLAS Library
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- dep: libstdc++6 (>= 4.1.1)
- GNU Standard C++ Library v3