Compiling Data Parallel Tasks for Coordinated Execution

Authors:
Erwin Laure;Matthew Haines;Piyush Mehrotra;Hans P. Zima
Affiliations:
-;-;-;-
Venue:
Euro-Par '99 Proceedings of the 5th International Euro-Par Conference on Parallel Processing
Year:
1999

Citing 6
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Abstract

Many advanced scientific applications are heterogeneous and multidisciplinary in nature, consisting of multiple, independent modules. Such applications require efficient means of coordination for their program units. The programming language Opus was designed recently to assist in coordinating the execution of multiple, independent program modules. In this paper we address the problem of how to compile an Opus program such that it can be efficiently executed on a broad class of machines.