The compute cluster and other parallel programming models

Author

Wilmarth, D. Douglas

Author_Institution

Sky Comput., Chelmsford, MA, USA

Volume

26

Issue

8

fYear

1993

Firstpage

70

Lastpage

72

Abstract

The parallel processing requirements of many computer applications, such as machine vision, radar, solar, and signal processing, are reviewed. The major hardware architectural features in optimizing parallel processing performance (interconnect topology, memory locality, and synchronization facilities) are discussed. The various parallel processing models available are also discussed. These include job-level parallelism, data-level parallelism, algorithm-level parallelism, loop-level parallelism, and compute clusters.<>

Keywords

parallel architectures; parallel machines; parallel programming; MIMD; MPP; SIMD; SPMD; algorithm-level parallelism; compute cluster; computer applications; data-level parallelism; interconnect topology; job-level parallelism; loop-level parallelism; machine vision; memory locality; parallel programming models; radar; signal processing; solar; synchronization facilities; Computer applications; Concurrent computing; Hardware; Machine vision; Parallel processing; Parallel programming; Radar applications; Radar signal processing; Signal processing algorithms; Topology;

fLanguage

English

Journal_Title

Computer

Publisher

ieee

ISSN

0018-9162

Type

jour

DOI

10.1109/2.223547

Filename

223547