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Detail publikace
KOZÁK, D. JOVANOVIC, V. STANCU, C. VOJNAR, T. WIMMER, C.
Originální název
Comparing Rapid Type Analysis with Points-To Analysis in GraalVM Native Image
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Whole-program analysis is an essential technique that enables advanced compiler optimizations. An important example of such a method is points-to analysis used by ahead-of-time (AOT) compilers to discover program elements (classes, methods, fields) used on at least one program path. GraalVM Native Image uses a points-to analysis to optimize Java applications, which is a time-consuming step of the build. We explore how much the analysis time can be improved by replacing the points-to analysis with a rapid type analysis (RTA), which computes reachable elements faster by allowing more imprecision. We propose several extensions of previous approaches to RTA: making it parallel, incremental, and supporting heap snapshotting. We present an extensive experimental evaluation of the effects of using RTA instead of points-to analysis, in which RTA allowed us to reduce the analysis time for Spring Petclinic (a popular demo application of the Spring framework) by 64% and the overall build time by 35% at the cost of increasing the image size due to the imprecision by 15%.
Klíčová slova
compiler, ahead-of-time compilation, static analysis, optimization, Java, GraalVM
Autoři
KOZÁK, D.; JOVANOVIC, V.; STANCU, C.; VOJNAR, T.; WIMMER, C.
Vydáno
19. 10. 2023
Nakladatel
Association for Computing Machinery
Místo
New York
ISBN
979-8-4007-0380-5
Kniha
Proceedings of the 20th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes
Strany od
129
Strany do
142
Strany počet
14
BibTex
@inproceedings{BUT187601, author="KOZÁK, D. and JOVANOVIC, V. and STANCU, C. and VOJNAR, T. and WIMMER, C.", title="Comparing Rapid Type Analysis with Points-To Analysis in GraalVM Native Image", booktitle="Proceedings of the 20th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes", year="2023", pages="129--142", publisher="Association for Computing Machinery", address="New York", doi="10.1145/3617651.3622980", isbn="979-8-4007-0380-5" }