Data Organization in Parallel Computers (The Springer International Series in Engineering and Computer Science) Wijshoff, Harry A.G. von Wijshoff, Harry A.G.: Used: Good Hardcover (1989)

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former library 1989 hc no dj as issued withdrawn stamp in book/ on edge of pages clean text Kluwer Academic Publ. 247 pages/// L-13.

Bestandsnummer des Verk�ufers 0801M2Z8CLD

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Bibliografische Details

Titel: Data Organization in Parallel Computers (The Springer International Series in Engineering and Computer Science) Wijshoff, Harry A.G.
Verlag: Springer
Ver�ffentlichungsdatum: 1989
Sprache: Englisch
ISBN-10: 0898383048
ISBN-13: 9780898383041
Bindung: Hardcover
Zustand: Used: Good

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Inhaltsangabe

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.

Rese�a 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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