软件包：libcufft11（11.0.8.15~12.2.0-2） [non-free]
libcufft11 的相关链接
Debian 的资源：
下载源码包 nvidia-cuda-toolkit：
- [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]
维护小组：
外部的资源：
- 主页 [developer.nvidia.com]
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警告：这个软件包来自于 experimental 发行版。这表示它很有可能表现出不稳定或者出现 bug ，甚至是导致资料损失。请务必在使用之前查阅 changelog 以及其他潜在的文档。
NVIDIA cuFFT 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 cuFFT runtime library.
其他与 libcufft11 有关的软件包
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- dep: libc6 (>= 2.34)
- 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
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- dep: libgcc-s1 (>= 4.2)
- GCC 支持库