Adaptive Optimization in the Jalapeño JVM: The Controller's Analytical Model
| Citations: | 13 - 4 self |
BibTeX
@MISC{Arnold_adaptiveoptimization,
author = {Matthew Arnold and Stephen Fink and David Grove and Michael Hind and Peter F. Sweeney},
title = {Adaptive Optimization in the Jalapeño JVM: The Controller's Analytical Model},
year = {}
}
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Abstract
This paper provides details of the component of the Jalape~no adaptive optimization system that determines what methods to optimize. This component, called the controller , can choose from one of several optimization levels. In the current implementation, the controller uses a simple cost/benet analysis to drive adaptive compilation decisions. It has been demonstrated that even this simple analytic model can achieve reasonable performance compared to various JIT compilation scenarios in both startup and steady-state program regimes. This paper outlines several open questions in developing a more accurate controller model. We present two experiments that study the eects of how the current model predicts future execution from the past, a limited experimental evaluation of stability of the current model across applications, and describe our ongoing eorts to improve the Jalape~no controller. 1.
