Synopsis
Load Balancing in Parallel Computers: Theory and Practice is about the essential software technique of load balancing in distributed memory message-passing parallel computers, also called multicomputers. Each processor has its own address space and has to communicate with other processors by message passing. In general, a direct, point-to-point interconnection network is used for the communications. Many commercial parallel computers are of this class, including the Intel Paragon, the Thinking Machine CM-5, and the IBM SP2.
Load Balancing in Parallel Computers: Theory and Practice presents a comprehensive treatment of the subject using rigorous mathematical analyses and practical implementations. The focus is on nearest-neighbor load balancing methods in which every processor at every step is restricted to balancing its workload with its direct neighbours only. Nearest-neighbor methods are iterative in nature because a global balanced state can be reached through processors' successive local operations. Since nearest-neighbor methods have a relatively relaxed requirement for the spread of local load information across the system, they are flexible in terms of allowing one to control the balancing quality, effective for preserving communication locality, and can be easily scaled in parallel computers with a direct communication network.
Load Balancing in Parallel Computers: Theory and Practice serves as an excellent reference source and may be used as a text for advanced courses on the subject.
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Load Balancing in Parallel Computers: Theory and Practice
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Kluwer Academic Publishers, 1997
ISBN 10 : 079239819X
ISBN 13 : 9780792398196
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Hardcover. Etat : UsedVeryGood. Hardcover; light fading, light shelf wear to exterior; former owner's stamp ing on front endpaper; otherwise in very good condition with clean text, fi rm binding. N° de réf. du vendeur 32062
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Load Balancing in Parallel Computers
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Load Balancing in Parallel Computers: Theory and Practice is about the essential software technique of load balancing in distributed memory message-passing parallel computers, also called multicomputers. Each processor has its own addre. N° de réf. du vendeur 5971747
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Load Balancing in Parallel Computers : Theory and Practice
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Load Balancing in Parallel Computers
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Springer US Nov 1996, 1996
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ISBN 13 : 9780792398196
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Load Balancing in Parallel Computers: Theory and Practice is about the essential software technique of load balancing in distributed memory message-passing parallel computers, also called multicomputers. Each processor has its own address space and has to communicate with other processors by message passing. In general, a direct, point-to-point interconnection network is used for the communications. Many commercial parallel computers are of this class, including the Intel Paragon, the Thinking Machine CM-5, and the IBM SP2. Load Balancing in Parallel Computers: Theory and Practice presents a comprehensive treatment of the subject using rigorous mathematical analyses and practical implementations. The focus is on nearest-neighbor load balancing methods in which every processor at every step is restricted to balancing its workload with its direct neighbours only. Nearest-neighbor methods are iterative in nature because a global balanced state can be reached through processors' successive local operations. Since nearest-neighbor methods have a relatively relaxed requirement for the spread of local load information across the system, they are flexible in terms of allowing one to control the balancing quality, effective for preserving communication locality, and can be easily scaled in parallel computers with a direct communication network. Load Balancing in Parallel Computers: Theory and Practice serves as an excellent reference source and may be used as a text for advanced courses on the subject. 236 pp. Englisch. N° de réf. du vendeur 9780792398196
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Load Balancing in Parallel Computers : Theory and Practice
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Load Balancing in Parallel Computers: Theory and Practice (The Springer International Series in Engineering and Computer Science, 381)
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Load Balancing in Parallel Computers | Theory and Practice
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Buch. Etat : Neu. Load Balancing in Parallel Computers | Theory and Practice | Chenzhong Xu (u. a.) | Buch | The Springer International Series in Engineering and Computer Science | xv | Englisch | 1996 | Springer | EAN 9780792398196 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 102548755
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Load Balancing in Parallel Computers
Edité par
Kluwer Academic Publishers, 1996
ISBN 10 : 079239819X
ISBN 13 : 9780792398196
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Etat : New. Describes the software technique of load balancing in distributed memory message-passing parallel computers. This book presents mathematical analyses and practical implementations. It focuses on nearest-neighbor load balancing methods in which every processor at every step is restricted to balancing its workload with its direct neighbours only. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 210 pages, biography. BIC Classification: UYFP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (XV) Technical / Manuals. Dimension: 234 x 156 x 14. Weight in Grams: 509. . 1996. Hardback. . . . . N° de réf. du vendeur V9780792398196
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Load Balancing in Parallel Computers
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Springer, Springer Nov 1996, 1996
ISBN 10 : 079239819X
ISBN 13 : 9780792398196
Neuf
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Load Balancing in Parallel Computers: Theory and Practice is about the essential software technique of load balancing in distributed memory message-passing parallel computers, also called multicomputers. Each processor has its own address space and has to communicate with other processors by message passing. In general, a direct, point-to-point interconnection network is used for the communications. Many commercial parallel computers are of this class, including the Intel Paragon, the Thinking Machine CM-5, and the IBM SP2.Load Balancing in Parallel Computers: Theory and Practice presents a comprehensive treatment of the subject using rigorous mathematical analyses and practical implementations. The focus is on nearest-neighbor load balancing methods in which every processor at every step is restricted to balancing its workload with its direct neighbours only. Nearest-neighbor methods are iterative in nature because a global balanced state can be reached through processors' successive local operations. Since nearest-neighbor methods have a relatively relaxed requirement for the spread of local load information across the system, they are flexible in terms of allowing one to control the balancing quality, effective for preserving communication locality, and can be easily scaled in parallel computers with a direct communication network.Load Balancing in Parallel Computers: Theory and Practice serves as an excellent reference source and may be used as a text for advanced courses on the subject.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 236 pp. Englisch. N° de réf. du vendeur 9780792398196
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Load Balancing in Parallel Computers : Theory and Practice
Edité par
Springer, Springer, 1996
ISBN 10 : 079239819X
ISBN 13 : 9780792398196
Neuf
Couverture rigide
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Load Balancing in Parallel Computers: Theory and Practice is about the essential software technique of load balancing in distributed memory message-passing parallel computers, also called multicomputers. Each processor has its own address space and has to communicate with other processors by message passing. In general, a direct, point-to-point interconnection network is used for the communications. Many commercial parallel computers are of this class, including the Intel Paragon, the Thinking Machine CM-5, and the IBM SP2. Load Balancing in Parallel Computers: Theory and Practice presents a comprehensive treatment of the subject using rigorous mathematical analyses and practical implementations. The focus is on nearest-neighbor load balancing methods in which every processor at every step is restricted to balancing its workload with its direct neighbours only. Nearest-neighbor methods are iterative in nature because a global balanced state can be reached through processors' successive local operations. Since nearest-neighbor methods have a relatively relaxed requirement for the spread of local load information across the system, they are flexible in terms of allowing one to control the balancing quality, effective for preserving communication locality, and can be easily scaled in parallel computers with a direct communication network. Load Balancing in Parallel Computers: Theory and Practice serves as an excellent reference source and may be used as a text for advanced courses on the subject. N° de réf. du vendeur 9780792398196
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