[ Bron: nvidia-cuda-toolkit ]
Pakket: libnvblas12 (12.2.1.16~12.2.0-2) [non-free]
Verwijzigingen voor libnvblas12
Debian bronnen:
Het bronpakket nvidia-cuda-toolkit downloaden:
- [nvidia-cuda-toolkit_12.2.0-2.dsc]
- [nvidia-cuda-toolkit_12.2.0.orig-amd64.tar.xz]
- [nvidia-cuda-toolkit_12.2.0.orig-arm64.tar.xz]
- [nvidia-cuda-toolkit_12.2.0.orig-openjdk-8-jre-amd64-8u422-b05-1.tar.xz]
- [nvidia-cuda-toolkit_12.2.0.orig-openjdk-8-jre-ppc64el-8u422-b05-1.tar.xz]
- [nvidia-cuda-toolkit_12.2.0.orig-openjdk-8-source-8u422-b05-1.tar.xz]
- [nvidia-cuda-toolkit_12.2.0.orig-ppc64el.tar.xz]
- [nvidia-cuda-toolkit_12.2.0.orig.tar.xz]
- [nvidia-cuda-toolkit_12.2.0-2.debian.tar.xz]
Beheerders:
- Debian NVIDIA Maintainers (QA-pagina, Mailarchief)
- Andreas Beckmann (QA-pagina)
- Graham Inggs (QA-pagina)
Externe bronnen:
- Homepage [developer.nvidia.com]
Vergelijkbare pakketten:
Experimenteel pakket
Warning: This package is from the experimental distribution. That means it is likely unstable or buggy, and it may even cause data loss. Please be sure to consult the changelog and other possible documentation before using it.
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.
Andere aan libnvblas12 gerelateerde pakketten
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- dep: libc6 (>= 2.34)
- GNU C Bibliotheek: Gedeelde bibliotheken
Ook een virtueel pakket geboden door: libc6-udeb
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- dep: libcublas12 (= 12.2.1.16~12.2.0-2)
- NVIDIA cuBLAS Library
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- dep: libgcc-s1 (>= 3.0)
- GCC support bibliotheek
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- dep: libstdc++6 (>= 4.1.1)
- GNU Standard C++ Library v3