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A Survey of Adaptive Optimization in Virtual Machines (2004) [17 citations — 3 self]

by Matthew Arnold ,  Matthew Arnold ,  Stephen J. Fink ,  Stephen J. Fink ,  David Grove ,  David Grove ,  Michael Hind ,  Michael Hind ,  Peter F. Sweeney ,  Peter F. Sweeney
Proceedings of the IEEE, 93(2), 2005. Special issue on Program Generation, Optimization, and Adaptation
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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.

Citations

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