Task scheduling for multiprocessor systems : Homogeneous, Heterogeneous and Mixed Parallel computing environment: Heuristic-based approach

Savina Bansal

ISBN 10: 3843361517 / ISBN 13: 9783843361514

Editore: LAP LAMBERT Academic Publishing, 2010

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Codice articolo 9783843361514

Dati bibliografici

• Titolo: Task scheduling for multiprocessor systems : Homogeneous, Heterogeneous and Mixed Parallel computing environment: Heuristic-based approach
• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 3843361517
• ISBN 13: 9783843361514
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 220 L x 150 A x 11 P (millimetri) 220 millimetri di larghezza per 150 millimetri di altezza per 11 millimetri di profondità
• Peso: 286 grammi

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Riassunto

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.

Informazioni sull?autore

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.