[ bullseye ]
[ bookworm ]
[ 源代码： nvidia-cuda-toolkit ]
软件包：libcufftw10（11.1.1+~10.4.1.152~11.2.2-3+deb11u3） [non-free]
libcufftw10 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 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.
其他与 libcufftw10 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 (>= 2.3.3) [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 支持库
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- dep: libstdc++6 (>= 4.1.1)
- GNU 标准 C++ 库，第3版