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Prospects for Scientific Computing in Polymorphic, Object-Oriented Style (1999)
| Venue: | In Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing |
| Citations: | 10 - 4 self |
BibTeX
@INPROCEEDINGS{Budimlic99prospectsfor,
author = {Zoran Budimlic and Ken Kennedy},
title = {Prospects for Scientific Computing in Polymorphic, Object-Oriented Style},
booktitle = {In Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing},
year = {1999}
}
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Abstract
Since the introduction of the Java programming language, there has been widespread interest in the use of Java for high performance scientific computing. One major impediment to such use is the performance penalty paid relative to Fortran. Although Java implementations have made great strides, they still fall short on programs that use the full power of Java's object-oriented features. In this paper, we present an analysis of the cost associated with polymorphic, object-oriented scientific programming in Java, and discuss the compiler strategies that would reduce the overhead of such programming style. Our ultimate goal is to foster the development of compiler technology that will reward, rather than penalize good object-oriented programming practice. 1 Introduction When one considers Java as a platform for high-performance scientific applications, several general performance considerations quickly come into focus. Today's Java implementations are not yet on par with the native compil...
Keyphrases
scientific computing object-oriented style java implementation compiler strategy compiler technology object-oriented feature high-performance scientific application ultimate goal programming style great stride good object-oriented programming practice performance penalty major impediment high performance scientific computing object-oriented scientific programming full power several general performance consideration native compil java programming language widespread interest
