A Survey of Adaptive Optimization in Virtual Machines

@article{Arnold2005ASO,
  title={A Survey of Adaptive Optimization in Virtual Machines},
  author={Matthew Arnold and Stephen J. Fink and David Grove and Michael Hind and Peter F. Sweeney},
  journal={Proceedings of the IEEE},
  year={2005},
  volume={93},
  pages={449-466}
}
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 program representations preclude many forms of whole-program interprocedural optimization. Third, virtual machines incur additional costs for runtime services such as… CONTINUE READING

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