Name: Load Balancing in Parallel Computers: Theory and Practice (en Inglés)
Price: 412570.00 CLP
Availability: InStock
Author: Chenzhong Xu ; Lau, Francis C. M.
ISBN: 9781475770667

portada Load Balancing in Parallel Computers: Theory and Practice (en Inglés)

Formato

Libro Físico

Autor

Chenzhong Xu

Francis C. M. Lau

Editorial

Springer

Idioma

Inglés

N° páginas

210

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.2 cm

Peso

0.33 kg.

ISBN13

9781475770667

Categorías

Hardware de redes
Arquitectura y diseño lógico de ordenadores

Load Balancing in Parallel Computers: Theory and Practice (en Inglés)

Chenzhong Xu (Autor) · Francis C. M. Lau (Autor) · Springer · Tapa Blanda

Libro Físico

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$ 573.020

Ahorras: $ 160.450

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Reseña del libro "Load Balancing in Parallel Computers: Theory and Practice (en Inglés)"

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.