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Vortex: an optimizing compiler for object-oriented languages

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Conference on Object Oriented Programming Systems Languages and Applications archive
Proceedings of the 11th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications table of contents

San Jose, California, United States

Pages: 83 - 100

Year of Publication: 1996

ISBN:0-89791-788-X

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Authors

Jeffrey Dean	Department of Computer Science and Engineering, University of Washington, Box 352350, Seattle, Washington
Greg DeFouw	Department of Computer Science and Engineering, University of Washington, Box 352350, Seattle, Washington
David Grove	Department of Computer Science and Engineering, University of Washington, Box 352350, Seattle, Washington
Vassily Litvinov	Department of Computer Science and Engineering, University of Washington, Box 352350, Seattle, Washington
Craig Chambers	Department of Computer Science and Engineering, University of Washington, Box 352350, Seattle, Washington

Sponsor

SIGPLAN: ACM Special Interest Group on Programming Languages

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 3, Downloads (12 Months): 27, Citation Count: 49

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ABSTRACT

Previously, techniques such as class hierarchy analysis and profile-guided receiver class prediction have been demonstrated to greatly improve the performance of applications written in pure object-oriented languages, but the degree to which these results are transferable to applications written in hybrid languages has been unclear. In part to answer this question, we have developed the Vortex compiler infrastructure, a language-independent optimizing compiler for object-oriented languages, with front-ends for Cecil, C++, Java, and Modula-3. In this paper, we describe the Vortex compiler's intermediate language, internal structure, and optimization suite, and then we report the results of experiments assessing the effectiveness of different combinations of optimizations on sizable applications across these four languages. We characterize the benchmark programs in terms of a collection of static and dynamic metrics, intended to quantify aspects of the "object-orientedness" of a program.

REFERENCES

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