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Global arrays: A nonuniform memory access programming model for high-performance computers by Jaroslaw Nieplocha; Robert J. Harrison; Richard J. Littlefield is a Computer Science article available to read on EtoBox.

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Portability, efficiency, and ease of coding are all important considerations in choosing the programming model for a scalable parallel application. The message-passing programming model is widely used because of its portability, yet some applications are ton complex to code in it while also trying to maintain a balanced computation load and avoid redundant computations. The shared-memory programming model simplifies coding, but it is not portable and often provides little control over interprocessor data transfer costs. This paper describes an approach, called GlobalArrays (GAs), that combines the better features of both other models, leading to both simple coding and efficient execution. The key concept of GAs is that they provide a portable interface through which each process in a MIMD parallel program can asynchronously access logical blocks of physically distributed matrices, with no need for explicit cooperation by other processes. We have implemented the GA library on a variety of computer systems, including the Intel Delta and Paragon, the IBM SP-1 and SP-2 (all message passers), the Kendall Square Research KSR-1/2 and the Convex SPP-1200 (nonuniform access shared-memory ma

Who reads Global arrays: A nonuniform memory access programming model for high-performance computers?

Author

Jaroslaw Nieplocha; Robert J. Harrison; Richard J. Littlefield

Publisher

Springer US; Springer-Verlag; Kluwer Academic Publishers; Springer Science and Business Media LLC; Publons; Society for Mining, Metallurgy and Exploration Inc. (ISSN 0920-8542)

Published

1996

Language

EN

Field

Computer Science (Physical Sciences)