Data Organization in Parallel Computers: 67 (The Springer International Series in Engineering and Computer Science, 67) - Tapa dura

Wijshoff, Harry A.G.

 
9780898383041: Data Organization in Parallel Computers: 67 (The Springer International Series in Engineering and Computer Science, 67)
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ISBN 10: 0898383048 ISBN 13: 9780898383041
Editorial: Springer, 1989

Sinopsis

The organization of data is clearly of great importance in the design of high performance algorithms and architectures. Although there are several landmark papers on this subject, no comprehensive treatment has appeared. This monograph is intended to fill that gap. We introduce a model of computation for parallel computer architec­ tures, by which we are able to express the intrinsic complexity of data or­ ganization for specific architectures. We apply this model of computation to several existing parallel computer architectures, e.g., the CDC 205 and CRAY vector-computers, and the MPP binary array processor. The study of data organization in parallel computations was introduced as early as 1970. During the development of the ILLIAC IV system there was a need for a theory of possible data arrangements in interleaved mem­ ory systems. The resulting theory dealt primarily with storage schemes also called skewing schemes for 2-dimensional matrices, i.e., mappings from a- dimensional array to a number of memory banks. By means of the model of computation we are able to apply the theory of skewing schemes to var­ ious kinds of parallel computer architectures. This results in a number of consequences for both the design of parallel computer architectures and for applications of parallel processing.

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Reseña del editor

The organization of data is clearly of great importance in the design of high performance algorithms and architectures. Although there are several landmark papers on this subject, no comprehensive treatment has appeared. This monograph is intended to fill that gap. We introduce a model of computation for parallel computer architec­ tures, by which we are able to express the intrinsic complexity of data or­ ganization for specific architectures. We apply this model of computation to several existing parallel computer architectures, e.g., the CDC 205 and CRAY vector-computers, and the MPP binary array processor. The study of data organization in parallel computations was introduced as early as 1970. During the development of the ILLIAC IV system there was a need for a theory of possible data arrangements in interleaved mem­ ory systems. The resulting theory dealt primarily with storage schemes also called skewing schemes for 2-dimensional matrices, i.e., mappings from a- dimensional array to a number of memory banks. By means of the model of computation we are able to apply the theory of skewing schemes to var­ ious kinds of parallel computer architectures. This results in a number of consequences for both the design of parallel computer architectures and for applications of parallel processing.

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Editorial
Springer
Año de publicación
1989
Idioma
Inglés
ISBN 10 
0898383048
ISBN 13 
9780898383041
Encuadernación
Tapa dura
Número de páginas
264
Contacto del fabricante
no disponible
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Hamburg
Alemania

Otras ediciones populares con el mismo título

9781461289647: Data Organization in Parallel Computers: 67 (The Springer International Series in Engineering and Computer Science)

Edición Destacada

ISBN 10:  1461289645 ISBN 13:  9781461289647
Editorial: Springer, 2011
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