Performance evaluation of view-oriented parallel programming

Author

Huang, Z. ; Purvis, M. ; Werstein, P.

Author_Institution

Dept. of Comput. Sci., Otago Univ., Dunedin, New Zealand

fYear

2005

Firstpage

251

Lastpage

258

Abstract

This paper evaluates the performance of a novel view-oriented parallel programming style for parallel programming on cluster computers. View-oriented parallel programming is based on distributed shared memory which is friendly and easy for programmers to use. It requires the programmer to divide shared data into views according to the memory access pattern of the parallel algorithm. One of the advantages of this programming style is that it offers the performance potential for the underlying distributed shared memory system to optimize consistency maintenance. Also it allows the programmer to participate in performance optimization of a program through wise partitioning of the shared data into views. Experimental results demonstrate a significant performance gain of the programs based on the view-oriented parallel programming style.

Keywords

distributed shared memory systems; optimisation; parallel algorithms; parallel programming; software performance evaluation; workstation clusters; cluster computers; consistency maintenance optimisation; distributed shared memory system; parallel algorithm; performance evaluation; program performance optimization; view-oriented parallel programming style; Computer science; Concurrent computing; Distributed computing; Information science; Message passing; Optimization; Parallel algorithms; Parallel programming; Performance gain; Programming profession; Cluster Computing; Distributed Shared Memory; View-Oriented Parallel Programming; View-based Consistency;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel Processing, 2005. ICPP 2005. International Conference on

ISSN

0190-3918

Print_ISBN

0-7695-2380-3

Type

conf

DOI

10.1109/ICPP.2005.62

Filename

1488621