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A Survey of Adaptive Optimization in Virtual Machines (2004)
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by
Matthew Arnold
,
Stephen J. Fink
,
David Grove
,
Michael Hind
,
Peter F. Sweeney
| Venue: | PROCEEDINGS OF THE IEEE, 93(2), 2005. SPECIAL ISSUE ON PROGRAM GENERATION, OPTIMIZATION, AND ADAPTATION |
| Citations: | 59 - 6 self |
BibTeX
@INPROCEEDINGS{Arnold04asurvey,
author = {Matthew Arnold and Stephen J. Fink and David Grove and Michael Hind and Peter F. Sweeney},
title = {A Survey of Adaptive Optimization in Virtual Machines},
booktitle = {PROCEEDINGS OF THE IEEE, 93(2), 2005. SPECIAL ISSUE ON PROGRAM GENERATION, OPTIMIZATION, AND ADAPTATION},
year = {2004},
publisher = {}
}
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Abstract
Virtual machines face significant performance challenges beyond those confronted by traditional static optimizers. First, portable program representations and dynamic language features, such as dynamic class loading, force the deferral of most optimizations until runtime, inducing runtime optimization overhead. Second, modular
