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An Improved Parallel FFT Algorithm Based on the GPU
Abstract:
With the extensive applications of FFT in digital signal processing and image signal processing which needs a extensive application of large-scale computing, it become more and more important to improve parallelism, especially efficient and scalable parallel of FFT algorithm. This paper improves the parallelism of the FFT algorithm based on the Six-Step FFT algorithm. The introduction of GPU to parallel computing is to realize parallel FFT computing in a single machine and to improve the speed of Frontier transform. With the optimization strategy of the mapping hiding the transport matrix, the performance of parallel FFT algorithm after optimization is remarkably promoted by the assignment of matrix calculation and butterfly computation to GPU. Finally it applies to design the digital filter in seismic data.
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880-884
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Online since:
January 2013
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© 2013 Trans Tech Publications Ltd. All Rights Reserved
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