[ bullseye ]
[ bookworm ]
[ 原始碼： nvidia-cuda-toolkit ]
套件：libcufftw10（11.1.1+~10.4.1.152~11.2.2-3+deb11u3） [non-free]
libcufftw10 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：
NVIDIA cuFFTW Library
The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation.
The FFT is a divide-and-conquer algorithm for efficiently computing discrete Fourier transforms of complex or real-valued data sets. It is one of the most important and widely used numerical algorithms in computational physics and general signal processing. The cuFFT library provides a simple interface for computing FFTs on an NVIDIA GPU, which allows users to quickly leverage the floating-point power and parallelism of the GPU in a highly optimized and tested FFT library.
This package contains the cuFFTW runtime library.
其他與 libcufftw10 有關的套件
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- dep: libc6 (>= 2.17) [除 amd64]
- 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: libc6 (>= 2.3.3) [amd64]
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- dep: libcufft10 (= 11.1.1+~10.4.1.152~11.2.2-3+deb11u3)
- NVIDIA cuFFT Library
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- dep: libgcc-s1 (>= 3.0)
- GCC 支援函式庫
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- dep: libstdc++6 (>= 4.1.1)
- GNU Standard C++ Library v3