Memory Storage Patterns in Parallel Processing: 30 (The Springer International Series in Engineering and Computer Science) - Tapa blanda

Mace, Mary E. E.

 
9781461291947: Memory Storage Patterns in Parallel Processing: 30 (The Springer International Series in Engineering and Computer Science)
Tapa blanda
ISBN 10: 1461291941 ISBN 13: 9781461291947
Editorial: Springer, 2011

Sinopsis

This project had its beginnings in the Fall of 1980. At that time Robert Wagner suggested that I investigate compiler optimi­ zation of data organization, suitable for use in a parallel or vector machine environment. We developed a scheme in which the compiler, having knowledge of the machine’s access patterns, does a global analysis of a program’s operations, and automatically determines optimum organization for the data. For example, for certain architectures and certain operations, large improvements in performance can be attained by storing a matrix in row major order. However a subsequent operation may require the matrix in column major order. A determination must be made whether or not it is the best solution globally to store the matrix in row order, column order, or even have two copies of it, each organized differently. We have developed two algorithms for making this determination. The technique shows promise in a vector machine environ­ ment, particularly if memory interleaving is used. Supercomputers such as the Cray, the CDC Cyber 205, the IBM 3090, as well as superminis such as the Convex are possible environments for implementation.

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Reseña del editor

This project had its beginnings in the Fall of 1980. At that time Robert Wagner suggested that I investigate compiler optimi­ zation of data organization, suitable for use in a parallel or vector machine environment. We developed a scheme in which the compiler, having knowledge of the machine's access patterns, does a global analysis of a program's operations, and automatically determines optimum organization for the data. For example, for certain architectures and certain operations, large improvements in performance can be attained by storing a matrix in row major order. However a subsequent operation may require the matrix in column major order. A determination must be made whether or not it is the best solution globally to store the matrix in row order, column order, or even have two copies of it, each organized differently. We have developed two algorithms for making this determination. The technique shows promise in a vector machine environ­ ment, particularly if memory interleaving is used. Supercomputers such as the Cray, the CDC Cyber 205, the IBM 3090, as well as superminis such as the Convex are possible environments for implementation.

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Editorial
Springer
Año de publicación
2011
Idioma
Inglés
ISBN 10 
1461291941
ISBN 13 
9781461291947
Encuadernación
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Número de páginas
156
Contacto del fabricante
no disponible
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CMN Printpool Inh. Mathis Neumann
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9780898382396: Memory Storage Patterns in Parallel Processing: 30 (The Springer International Series in Engineering and Computer Science)

Edición Destacada

ISBN 10:  0898382394 ISBN 13:  9780898382396
Editorial: Kluwer Academic Publishers, 1987
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