NDLI: Improved methods for divisible load distribution on k-dimensional meshes using pipelined communications

Content Provider	IEEE Xplore Digital Library
Author	Keqin Li
Copyright Year	2003
Description	Author affiliation: Dept. of Comput. Sci., State Univ. of New York, New Paltz, NY, USA (Keqin Li)
Abstract	We give the closed form solutions to the parallel time and speedup of the classic method for processing divisible loads on linear arrays as functions of N, the network size. We propose two methods which employ pipelined communications to distribute divisible loads on linear arrays. We derive the closed form solutions to the parallel time and speedup for both methods and show that the asymptotic speedup of both methods is /spl beta/+1, where /spl beta/ is the ratio of the time for computing a unit load to the time for communicating a unit load Such performance is even better than that of the known methods on k-dimensional meshes with k>1. The two new algorithms which use pipelined communications are generalized to distribute divisible loads on k-dimensional meshes, and we show that the asymptotic speedup of both algorithms is k/spl beta/+1, where k/spl ges/1. We also prove that on k-dimensional meshes where k/spl ges/1, as the network size becomes large, the asymptotic speedup of 2k/spl beta/+1 can be achieved for processing divisible loads by using interior initial processors.
Sponsorship	IEEE Comput. Soc Tech. Committee on Parallel Process. IEEE Comput. Soc. Tech. Committee on Comput. Archit. IEEE Comput. Soc. Tech. Committee on Distrib. Process. ACM SIGARCH
File Size	458675
File Format	PDF
ISBN	0769519261
ISSN	15302075
DOI	10.1109/IPDPS.2003.1213185
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-04-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Closed-form solution Computer networks Distributed computing Concurrent computing Multimedia databases Multiprocessor interconnection networks Parallel processing Computer science Large-scale systems Signal processing
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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