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Parallel processing has seen incredible growth with increasingly complex scientific & engg applications coming to their realm.Task scheduling,a key issue for its success,& design of efficient algorithms play a crucial role in it.Due to NPcompleteness of the problem research efforts are mainly focussed at heuristicbased approaches to generate nearoptimal schedules within reasonable time & resource constraints.Most of the heuristics, however, ignore practical aspect and/or compromise too much on complexity or performance.This monograph provides an indepth insight into these issues.An overview of stateoftheart scheduling,reflecting changing paradigms,is also provided.In addition,for scheduling DAG structured applications,3 efficient algorithms are presented & analyzed for homogeneous, heterogeneous & mixedparallel computing environments.Selectiveduplication heuristic is introduced and its usefulness in dealing with IPC overhead is shown in comparison to list,clustering and duplicationbased heuristics.An Acube performance model is suggested to comprehensively study behavior of algorithm, application & architecture in heterogeneous environment.
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