A scalable distributed heterogeneous associative logic programming system

Author

Ryan, StephLen W. ; Bansal, Arvind K.

Author_Institution

Dept. of Math. & Comput. Sci., Kent State Univ., OH, USA

fYear

1997

Firstpage

37

Lastpage

44

Abstract

This paper describes a distributed implementation of a scalable heterogeneous associative logic programming model, and describes an abstract instruction set for the distributed version of the model. Associative computation exploits data parallel computation. The implementation uses PVM for architecture independence, and uses object oriented programming for modularity and portability. Performance results on a cluster of IBM RS 6000 are presented

Keywords

IBM computers; associative processing; distributed processing; instruction sets; knowledge based systems; logic programming; message passing; object-oriented programming; software libraries; software performance evaluation; software portability; IBM RS 6000; PVM; Parallel Virtual Machine; abstract instruction set; architecture independence; associative computation; associative logic programming system; data parallel computation; knowledge based systems; modularity; object oriented programming; performance; portability; scalable distributed heterogeneous system; Computer architecture; Concurrent computing; Distributed computing; Filters; High performance computing; Logic programming; Mathematical model; Object oriented modeling; Object oriented programming; Parallel processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Tools with Artificial Intelligence, 1997. Proceedings., Ninth IEEE International Conference on

Conference_Location

Newport Beach, CA

ISSN

1082-3409

Print_ISBN

0-8186-8203-5

Type

conf

DOI

10.1109/TAI.1997.632234

Filename

632234