Using Statistical Models for Embedded Java Performance Analysis
نویسندگان
چکیده
This paper proposes and evaluates rigorous statistical regression techniques for Java performance analysis on a high-end embedded processor (MPC7447A). Our models relate overall Java system performance to various microarchitecture metrics and their interactions. We show that the models we develop in this paper are easy to construct, are interpretable and have high prediction accuracies.
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