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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Memory Storage Patterns in Parallel Processing

Memory Storage Patterns in Parallel Processing

Mace, Mary E.

Paperback

Series: The Springer International Engineering and Computer Science, Book 30

General ComputersGeneral Gardening

ISBN10: 1461291941
ISBN13: 9781461291947
Publisher: Springer Nature
Published: Dec 22 2011
Pages: 160
Weight: 0.50
Height: 0.33 Width: 6.14 Depth: 9.21
Language: English
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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