DocumentCode
2344279
Title
Scalable performance in workstation cluster: influence of a programming paradigm
Author
Murthy, V.K. ; Krishnamurthy, E.V.
Author_Institution
Sch. of Comput. Sci., Univ. of New South Wales, Canberra, ACT, Australia
fYear
2002
fDate
2002
Firstpage
352
Lastpage
359
Abstract
Scalable performance can be obtained in a network cluster of workstations by proper choice of programming paradigm and software tools such as PVM/MPI. However, the ratio of message transmission time to computation time plays a crucial role. For regular problems such as matrix computations this ratio can be easily inferred. However, for more complex problems such as evolutionary computations this ratio cannot be arrived at unless the programmer has very good problem domain knowledge.
Keywords
application program interfaces; message passing; parallel programming; software tools; workstation clusters; MPI; PVM; evolutionary computations; matrix computations; message transmission time to computation time ratio; programming paradigm; regular problems; scalable performance; software tools; workstation cluster; Application software; Computer networks; Concurrent computing; Distributed computing; Libraries; Message passing; Neural networks; Software tools; Statistics; Workstations;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Processing Workshops, 2002. Proceedings. International Conference on
ISSN
1530-2016
Print_ISBN
0-7695-1680-7
Type
conf
DOI
10.1109/ICPPW.2002.1039751
Filename
1039751
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