An Enabling Framework for Master-Worker Applications on the Computational Grid

We describe MW – a software framework that allows users to quickly and easily parallelize scientific computations using the master-worker paradigm on the computationalgrid. 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 witha 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. ¡ This work was supported in part by Grants No. CDA-9726385 and CDA-9623632 from the National Science Foundation.

• Type: Conference
• Year: 2000
• Where: HPDC
• Authors: Jean-Pierre Goux, Sanjeev Kulkarni, Jeff Linderoth, Michael Yoder
• Keywords: Combinatorial Optimization Problem, Distributed And Parallel Computing, Grid Computing Toolkits, HPDC 2000, Necessary Grid Services