NDLI: Comparison of 2-D FFT implementations on the Intel Paragon massively parallel supercomputer

Content Provider	IEEE Xplore Digital Library
Author	An, M. Anupindi, N. Bletsas, M. Kechriotis, G. Lu, C. Manolakos, E.S. Tolimieri, R.
Copyright Year	1995
Description	Author affiliation: Aware Inc., Cambridge, MA, USA (An, M.; Anupindi, N.)
Abstract	We discuss the parallel implementation of multidimensional FFTs on distributed memory multiprocessor machines. We introduce a compact notation to describe four equivalent parallel algorithms and discuss their advantages and disadvantages. Two algorithms, suitable for the case when initial and final data are distributed either row- or column-wise, the traditional row-column (RC) and a variation of the vector radix (VR) that we call partial vector radix (PVR) are presented and their efficiency on the Paragon is compared. It is shown that the PVR, although it requires larger amount of interprocessor communication, results in more efficient implementations due to the regularity of local and distributed memory accesses. For the case in which data are partitioned along both dimensions, two suitable parallel algorithms, the collect-distribute (CD) and the general full vector-radix (FVR), are presented. Again, it is shown that regularity in memory accesses for the case of the FVR, results in more efficient implementations.
Starting Page	2755
Ending Page	2758
File Size	367373
Page Count	4
File Format	PDF
ISBN	0780324315
ISSN	15206149
DOI	10.1109/ICASSP.1995.480132
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-05-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parallel algorithms Multidimensional systems Flexible printed circuits Virtual reality
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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