libcufft10 binary package in openKylin Yangtze V1.0 amd64
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 cuFFT runtime library.
Publishing history
| Date | Status | Target | Component | Section | Priority | Phased updates | Version | ||
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| 2022-11-03 10:51:34 UTC | Published | openKylin Yangtze V1.0 amd64 | release | pty | libs | Optional | 11.1.1+~10.6.0.107~11.5.1-ok2 | ||
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| 2022-09-23 11:01:48 UTC | Published | openKylin Yangtze V1.0 amd64 | proposed | pty | libs | Optional | 11.1.1+~10.6.0.107~11.5.1-ok2 | ||
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| 2022-09-23 11:01:54 UTC | Superseded | openKylin Yangtze V1.0 amd64 | proposed | pty | libs | Optional | 11.1.1+~10.6.0.107~11.5.1-ok1 | ||
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