DocumentCode :
2413957
Title :
An enabling framework for master-worker applications on the Computational Grid
Author :
Goux, Jean-Pierre ; Kulkarni, Sanjeev ; Linderoth, Jeff ; Yoder, Michael
Author_Institution :
Dept. of Electr. & Comput. Eng., Northwestern Univ., Evanston, IL, USA
fYear :
2000
fDate :
2000
Firstpage :
43
Lastpage :
50
Abstract :
Describes MW (Master-Worker) - a software framework that allows users to quickly and easily parallelize scientific computations using the master-worker paradigm on the Computational Grid. MW provides both a “top-level” interface to application software and a “bottom-level” interface to existing Grid computing toolkits. Both interfaces are briefly described. We conclude with a case study, where the necessary Grid services are provided by the Condor high-throughput computing system, and the MW-enabled application code is used to solve a combinatorial optimization problem of unprecedented complexity
Keywords :
application program interfaces; combinatorial mathematics; computational complexity; distributed programming; mathematics computing; natural sciences computing; optimisation; programming environments; API; Computational Grid; Condor high-throughput computing system; Grid computing toolkits; MW; application software; bottom-level interface; case study; combinatorial optimization problem; master-worker applications; problem complexity; scientific computation parallelization; software framework; top-level interface; Application software; Computer applications; Computer science; Concurrent computing; Grid computing; Laboratories; Mathematics; Pervasive computing; Robustness; Software tools;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High-Performance Distributed Computing, 2000. Proceedings. The Ninth International Symposium on
Conference_Location :
Pittsburgh, PA
ISSN :
1082-8907
Print_ISBN :
0-7695-0783-2
Type :
conf
DOI :
10.1109/HPDC.2000.868633
Filename :
868633
Link To Document :
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