Finding Good Compilation Plans: A Strategy to Enhance an Adaptive Optimization System

An important component of virtual machines is the adaptive optimization system, which decides what methods to optimize and what compiler optimization set to enable. In this context, this paper presents the development of an auto-tuning adaptive optimization system (a strategy to find good compiler o...

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Bibliographic Details
Published in:Revista IEEE América Latina 2020-07, Vol.18 (7), p.1185-1192
Main Authors: Cardoso, Adriano Ferrari, Tonetti, Caio Henrique Segawa, Silva, Anderson Faustino da
Format: Article
Language:English
Subjects:
adaptive optimization system
Adaptive systems
Compilers
just-in-time compiler
Optimization
Virtual environments
virtual machine
Virtual machining
Online Access:Get full text
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Summary:An important component of virtual machines is the adaptive optimization system, which decides what methods to optimize and what compiler optimization set to enable. In this context, this paper presents the development of an auto-tuning adaptive optimization system (a strategy to find good compiler optimizations), in order to obtain the best possible performance; that is, the reduction of runtime. Such system was implemented over the Jikes Research Virtual Machine, and the results indicate that the proposal is capable of achieving 11% better average performance, at a cost of less than 10% of the total runtime.
ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2020.9099758