[ bullseye ]
[ bookworm ]
[ 源代码: nvidia-cuda-toolkit ]
软件包:libcublaslt11(11.4.1.1043~11.2.2-3+deb11u3) [non-free]
libcublaslt11 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 [developer.nvidia.com]
相似软件包:
NVIDIA cuBLASLt Library
The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation.
The cuBLASLt library is a lightweight GEMM library with a flexible API and tensor core support for INT8 inputs and FP16 CGEMM split-complex matrix multiplication.
This package contains the cuBLASLt runtime library.
其他与 libcublaslt11 有关的软件包
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- dep: libc6 (>= 2.17) [除 amd64]
- 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: libc6 (>= 2.4) [amd64]
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- dep: libgcc-s1 (>= 3.0) [除 arm64]
- GCC 支持库
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- dep: libstdc++6 (>= 4.1.1) [arm64]
- GNU 标准 C++ 库,第3版
- dep: libstdc++6 (>= 4.4.0) [amd64]
- dep: libstdc++6 (>= 4.8) [ppc64el]