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 NP-completeness of the problem research efforts are mainly focussed at heuristic-based approaches to generate near-optimal 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 in-depth insight into these issues.An overview of state-of-the-art scheduling,reflecting changing paradigms,is also provided.In addition,for scheduling DAG structured applications,3 efficient algorithms are presented & analyzed for homogeneous, heterogeneous & mixed-parallel computing environments.Selective-duplication heuristic is introduced and its usefulness in dealing with IPC overhead is shown in comparison to list,clustering and duplication-based heuristics.An A-cube performance model is suggested to comprehensively study behavior of algorithm, application & architecture in heterogeneous environment.
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Savina Bansal,PhD (IIT)is a Professor in Electronics & Comm Engg at GZS College of Engg & Tech. Bathinda (Punjab)India. She has over 22 yrs of teaching, research and Ind. experience and has published many well-cited R.papers in reputed Int.Journals & Conf. Her research interests include Fault-tolerant real-time & multiprocessor scheduling.
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Taschenbuch. Zustand: Neu. Task scheduling for multiprocessor systems | Homogeneous, Heterogeneous and Mixed Parallel computing environment: Heuristic-based approach | Savina Bansal | Taschenbuch | 180 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843361514 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Artikel-Nr. 107241808
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