[ bullseye ]
[ bookworm ]
[ ソース: nvidia-cuda-toolkit ]
パッケージ: libcufftw10 (11.1.1+~10.9.0.58~11.8.0-5~deb12u1) [non-free]
libcufftw10 に関するリンク
Debian の資源:
nvidia-cuda-toolkit ソースパッケージをダウンロード:
- [nvidia-cuda-toolkit_11.8.0-5~deb12u1.dsc]
- [nvidia-cuda-toolkit_11.8.0.orig-amd64.tar.xz]
- [nvidia-cuda-toolkit_11.8.0.orig-arm64.tar.xz]
- [nvidia-cuda-toolkit_11.8.0.orig-openjdk-8-jre-amd64-8u372-ga-1.tar.xz]
- [nvidia-cuda-toolkit_11.8.0.orig-openjdk-8-jre-ppc64el-8u372-ga-1.tar.xz]
- [nvidia-cuda-toolkit_11.8.0.orig-openjdk-8-source-8u372-ga-1.tar.xz]
- [nvidia-cuda-toolkit_11.8.0.orig-ppc64el.tar.xz]
- [nvidia-cuda-toolkit_11.8.0.orig.tar.xz]
- [nvidia-cuda-toolkit_11.8.0-5~deb12u1.debian.tar.xz]
メンテナ:
外部の資源:
- ホームページ [developer.nvidia.com]
類似のパッケージ:
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.
その他の libcufftw10 関連パッケージ
|
|
|
|
-
- dep: libc6 (>= 2.34)
- GNU C ライブラリ: 共有ライブラリ
以下のパッケージによって提供される仮想パッケージでもあります: libc6-udeb
-
- dep: libcufft10 (= 11.1.1+~10.9.0.58~11.8.0-5~deb12u1)
- NVIDIA cuFFT Library
-
- dep: libgcc-s1 (>= 4.2)
- GCC 共有ライブラリ