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
Link To Document :
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