Practical support for parallel programming

Author

DiNucci, David C. ; Babb, Robert G., II

Author_Institution

Dept. of Comput. Sci. & Eng., Oregon Graduate Center, Beaverton, OR, USA

Volume

2

fYear

1988

fDate

0-0 1988

Firstpage

109

Lastpage

118

Abstract

An approach is considered in which programs written within a higher-level parallel model are automatically transformed for execution on a particular (parallel) processor. It is based on an improved version of large-grain data-flow (LGDF) techniques. The model is described, along with a scheduler implementation strategy for shared-memory multiprocessors. Performance measurements of a specific implementation for the Sequent Balance 21000 are given. It is argued that the approach can provide the benefits of user-visible parallelism while avoiding the pitfalls inherent in hand-coding of parallel scheduling schemes.<>

Keywords

multiprocessing programs; parallel programming; LGDF; Sequent Balance 21000; large-grain data-flow; parallel programming; scheduler implementation strategy; shared-memory multiprocessors; user-visible parallelism; Computer architecture; Concurrent computing; High level languages; Laboratories; Parallel processing; Parallel programming; Processor scheduling; Program processors; Software engineering; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

System Sciences, 1988. Vol.II. Software Track, Proceedings of the Twenty-First Annual Hawaii International Conference on

Conference_Location

Kailua-Kona, HI, USA

Print_ISBN

0-8186-0842-0

Type

conf

DOI

10.1109/HICSS.1988.11796

Filename

11796