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Memory Storage Patterns in Parallel Processing (The Springer International Series in Engineering and Computer Science, 30) - Hardcover
Synopsis
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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- PublisherSpringer
- Publication date1987
- ISBN 10 0898382394
- ISBN 13 9780898382396
- BindingHardcover
- LanguageEnglish
- Number of pages160
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Memory Storage Patterns in Parallel Processing (The Springer International Series in Engineering and Computer Science, 30)
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Memory Storage Patterns in Parallel Processing
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Boston: Kluwer Academic, 1987
ISBN 10: 0898382394
ISBN 13: 9780898382396
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Memory Storage Patterns in Parallel Processing (The Springer International Series in Engineering and Computer Science)
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