Logo image
An Empirical Study of Selective Optimization
Technical documentation   Open access

An Empirical Study of Selective Optimization

Matthew Arnold, Michael Hind and Barbara G. Ryder
Rutgers University
2000
DOI:
https://doi.org/10.7282/T3T15788

Abstract

This paper describes an empirical study of the SPECjvm98 benchmarks, using the Jalape~no virtual machine. The study employs two compilers, a nonoptimizing compiler that is initially used to compile all application methods, and an optimizing compiler that is selectively used to recompile a parameterized set of hot methods based on past proling. We view this study as a step in examining the feasibility of adaptive optimization in this environment. The results show promise for adaptive optimization. In particular, they show that the combined time (execution and compilation) of selective opt-compilation can be less than the execution time of no opt-compilation and the combined time of full opt-compilation. The results also show that the combined time of selective opt-compilation can be competitive with static compilation (full opt-compilation not counting compilation time) for the SPECjvm98 benchmarks with input size 100.
pdf
dcs-tr-411209.49 kBDownloadView
Author's Original (AO) Open Access
url
Report an accessibility issueView
Please complete a content remediation request to report an accessibility issue with a library electronic resource, website, or service.

Metrics

127 File downloads
82 Record Views

Details

Logo image