libcufftw10 binary package in openKylin Yangtze V1.0 arm64
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
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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.
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This package contains the cuFFTW runtime library.
Publishing history
Date | Status | Target | Component | Section | Priority | Phased updates | Version | ||
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2023-07-05 10:45:41 UTC | Published | openKylin Yangtze V1.0 arm64 | release | pty | libs | Optional | 11.1.1+~10.6.0.107~11.5.1-ok2 | ||
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2022-11-05 10:15:39 UTC | Published | openKylin Yangtze V1.0 arm64 | proposed | pty | libs | Optional | 11.1.1+~10.6.0.107~11.5.1-ok2 | ||
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