Load Balancing in Parallel Computers: Theory and Practice: The Springer International Series in Engineering and Computer Science, cartea 381
Autor Chenzhong Xu, Francis C.M. Lauen Limba Engleză Hardback – 30 noi 1996
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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Specificații
ISBN-13: 9780792398196
ISBN-10: 079239819X
Pagini: 210
Ilustrații: XV, 210 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.51 kg
Ediția:1997
Editura: Springer Us
Colecția Springer
Seria The Springer International Series in Engineering and Computer Science
Locul publicării:New York, NY, United States
ISBN-10: 079239819X
Pagini: 210
Ilustrații: XV, 210 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.51 kg
Ediția:1997
Editura: Springer Us
Colecția Springer
Seria The Springer International Series in Engineering and Computer Science
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
A Survey of Nearest-Neighbor Load Balancing Algorithms.- The GDE Method.- GDE on Tori and Meshes.- The Diffusion Method.- GDE Versus Diffusion.- Termination Detection of Load Balancing.- Remapping With the GDE Method.- Load Distribution in Combinatorial Optimizations.- Conclusions.