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

 
9783843361514: Task scheduling for multiprocessor systems: Homogeneous, Heterogeneous and Mixed Parallel computing environment: Heuristic-based approach

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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 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. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 180 pp. Englisch. Seller Inventory # 9783843361514

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bansal SavinaSavina 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. Seller Inventory # 5466115

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Taschenbuch. Condition: Neu. 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. Seller Inventory # 9783843361514

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Taschenbuch. Condition: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 180 pp. Englisch. Seller Inventory # 9783843361514

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Published by LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843361517 ISBN 13: 9783843361514
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