Reusing Highly Optimized IR in Dynamic Compilation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10500299" target="_blank" >RIV/00216208:11320/25:10500299 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.4230/LIPIcs.ECOOP.2025.25" target="_blank" >https://doi.org/10.4230/LIPIcs.ECOOP.2025.25</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4230/LIPIcs.ECOOP.2025.25" target="_blank" >10.4230/LIPIcs.ECOOP.2025.25</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Reusing Highly Optimized IR in Dynamic Compilation

Popis výsledku v původním jazyce

Virtual machines (VMs) with dynamic compilers typically specialize compiled code to the state of the running VM instance and thus cannot reuse the code between multiple runs of the same application. The JIT compiler must recompile the same methods for each run of the application separately, which can prolong the application’s warmup time. We propose a technique to reduce compilation time by reusing a highly optimized intermediate representation (IR). We achieve this by tracing compiler-interface calls during compilation. The validity of the specializations in the IR is verified during a replay stage, and the replay also facilitates the relocation of runtime object references. The IR is stored on a compilation server, which can compile it to machine code and provide the code to local or remote VM instances. We implemented a compilation server with IR caching for GraalVM, a high-performance production-grade Java Virtual Machine (JVM). We present an evaluation based on four industry-standard benchmark suites. In each suite, our approach reduces compilation time by 23.6% to 36.8% and warmup time by 13.1% to 21.2% on average while preserving peak application performance.

Název v anglickém jazyce

Reusing Highly Optimized IR in Dynamic Compilation

Popis výsledku anglicky

Virtual machines (VMs) with dynamic compilers typically specialize compiled code to the state of the running VM instance and thus cannot reuse the code between multiple runs of the same application. The JIT compiler must recompile the same methods for each run of the application separately, which can prolong the application’s warmup time. We propose a technique to reduce compilation time by reusing a highly optimized intermediate representation (IR). We achieve this by tracing compiler-interface calls during compilation. The validity of the specializations in the IR is verified during a replay stage, and the replay also facilitates the relocation of runtime object references. The IR is stored on a compilation server, which can compile it to machine code and provide the code to local or remote VM instances. We implemented a compilation server with IR caching for GraalVM, a high-performance production-grade Java Virtual Machine (JVM). We present an evaluation based on four industry-standard benchmark suites. In each suite, our approach reduces compilation time by 23.6% to 36.8% and warmup time by 13.1% to 21.2% on average while preserving peak application performance.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Leibniz International Proceedings in Informatics Lipics

ISBN

978-3-95977-373-7

ISSN

1868-8969

e-ISSN

—

Počet stran výsledku

25

Strana od-do

25.1-25.25

Název nakladatele

Schloss Dagstuhl, Leibniz-Zentrum für Informatik

Místo vydání

Wadern

Místo konání akce

Bergen, Norway

Datum konání akce

30. 6. 2025

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

001592262200025