Costing JIT Traces

Morton, J. M. , Maier, P. and Trinder, P. (2015) Costing JIT Traces. Technical Report. School of Computing Science, University of Glasgow. (Unpublished)

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Abstract

Tracing JIT compilation generates units of compilation that are easy to analyse and are known to execute frequently. The AJITPar project aims to investigate whether the information in JIT traces can be used to make better scheduling decisions or perform code transformations to adapt the code for a specific parallel architecture. To achieve this goal, a cost model must be developed to estimate the execution time of an individual trace. This paper presents the design and implementation of a system for extracting JIT trace information from the Pycket JIT compiler. We define three increasingly parametric cost models for Pycket traces. We perform a search of the cost model parameter space using genetic algorithms to identify the best weightings for those parameters. We test the accuracy of these cost models for predicting the cost of individual traces on a set of loop-based micro-benchmarks. We also compare the accuracy of the cost models for predicting whole program execution time over the Pycket benchmark suite. Our results show that the weighted cost model using the weightings found from the genetic algorithm search has the best accuracy.

Item Type:Research Reports or Papers (Technical Report)
Additional Information:Report number: TR-2015-001
Status:Unpublished
Glasgow Author(s) Enlighten ID:Maier, Dr Patrick and Morton, Mr John and Trinder, Professor Phil
Authors: Morton, J. M., Maier, P., and Trinder, P.
College/School:College of Science and Engineering > School of Computing Science
Publisher:School of Computing Science, University of Glasgow
Copyright Holders:Copyright © 2015 The Authors

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