NDLI: A method that determines optimal grain size and inherent parallelism concurrently

Content Provider	IEEE Xplore Digital Library
Author	Yiqun Ge Yun, D.Y.Y.
Copyright Year	1996
Description	Author affiliation: Dept. of Electr. Eng., Hawaii Univ., Honolulu, HI, USA (Yiqun Ge; Yun, D.Y.Y.)
Abstract	Grain packing is an important problem to the development of efficient parallel programs. It is desirable that the grain packing can be performed automatically, so that the programmer can write parallel programs without being troubled by the details of parallel-programming languages and parallel architectures, and the same parallel program can be executed efficiently on different machines. This paper presents a 2D Compression (2DC) grain packing method for determining optimal grain size and inherent parallelism concurrently. This ability is mainly due to 2DC's continuing efforts for achieving conflicting objectives. Experimental results demonstrate that 2DC increases the solution effectiveness, in comparison with state-of-art approaches that aim at economizing either speedup or resource utilization. Additionally, 2DC can determine inherent parallelism, which means that users will no longer be required to specify the number of processors before the compilation stage.
Starting Page	200
Ending Page	206
File Size	855291
Page Count	7
File Format	PDF
ISBN	0818674601
ISSN	10874089
DOI	10.1109/ISPAN.1996.508982
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-06-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Grain size Parallel processing Programming profession Parallel architectures Concurrent computing Resource management Parallel programming Laboratories Intelligent systems Lips
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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