[ bullseye ]
[ bookworm ]
[ 原始碼： nvidia-cuda-toolkit ]
套件：libnvblas11（11.11.3.6~11.8.0-5~deb12u1） [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_11.8.0-5~deb12u1.dsc]
- [nvidia-cuda-toolkit_11.8.0.orig-amd64.tar.xz]
- [nvidia-cuda-toolkit_11.8.0.orig-arm64.tar.xz]
- [nvidia-cuda-toolkit_11.8.0.orig-openjdk-8-jre-amd64-8u372-ga-1.tar.xz]
- [nvidia-cuda-toolkit_11.8.0.orig-openjdk-8-jre-ppc64el-8u372-ga-1.tar.xz]
- [nvidia-cuda-toolkit_11.8.0.orig-openjdk-8-source-8u372-ga-1.tar.xz]
- [nvidia-cuda-toolkit_11.8.0.orig-ppc64el.tar.xz]
- [nvidia-cuda-toolkit_11.8.0.orig.tar.xz]
- [nvidia-cuda-toolkit_11.8.0-5~deb12u1.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
|
|
|
|
-
- dep: libc6 (>= 2.34)
- 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: libcublas11 (= 11.11.3.6~11.8.0-5~deb12u1)
- NVIDIA cuBLAS Library
-
- dep: libgcc-s1 (>= 3.0)
- GCC 支援函式庫
-
- dep: libstdc++6 (>= 4.1.1)
- GNU Standard C++ Library v3