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Content Provider | IEEE Xplore Digital Library |
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Author | Yuan Jie Wu Jian-ping Wang Zheng-hua |
Copyright Year | 2010 |
Description | Author affiliation: School of Computer Science, National University of Defense, Changsha, China (Wu Jian-ping) || National Lab of Parallel and Distributed Processing, National, University of Defense Technology, Changsha, China (Yuan Jie) || National Lab of Parallel and Distributed Processing, National University of Defense Technology, Changsha, China (Wang Zheng-hua) |
Abstract | This paper presents a high performance parallel formulation for 1-D FFT based on transpose algorithm. The parallel scheme of FFT trades off some efficiency for a more consistent level of parallel performance. It involves matrix transposition, and a new in-place transposing algorithm is introduced into the parallel matrix transposition to improve the efficiency. Depending on the size of the input n, the number of processes p, and the memory or network bandwidth, this method can achieve better parallel performance than the other on cluster of SMP architectures. Test shows us that our scheme can achieve a good speedup. |
Starting Page | 3280 |
Ending Page | 3283 |
File Size | 651512 |
Page Count | 4 |
File Format | |
ISBN | 9781424465132 |
e-ISBN | 9781424465163 |
DOI | 10.1109/CISP.2010.5647466 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-10-16 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Algorithm design and analysis Computers cluster Program processors in-place transpose FFT parallel Clustering algorithms SMP Parallel processing Partitioning algorithms Arrays |
Content Type | Text |
Resource Type | Article |
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