Optimization of FFT Parallel Algorithm on Multi-Core CPUs

Fang Aidong
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Abstract

Fast Fourier Transformation is widely applied in fields of digital signal processing and communication.Multi-core CPU is increasingly common,and based on the parallelism of FFT algorithm,butterfly algorithm can be flexibly decomposited;we can improve the computational efficiency of FFT via investigating the allocation of parallel blocks and nested relations to optimize the algorithm,and reasonably allocating threads to realize parallel computing of multi-core CPU.
多核cpu上FFT并行算法的优化
快速傅里叶变换在数字信号处理和通信领域有着广泛的应用。多核CPU越来越普遍,基于FFT算法的并行性,可以对蝴蝶算法进行灵活的分解;我们可以通过研究并行块的分配和嵌套关系来优化算法,合理分配线程来实现多核CPU的并行计算,从而提高FFT的计算效率。
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