Remote Just-in-Time Compilation for Dynamic Languages

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10473989" target="_blank" >RIV/00216208:11320/23:10473989 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1145/3618305.3623593" target="_blank" >https://doi.org/10.1145/3618305.3623593</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3618305.3623593" target="_blank" >10.1145/3618305.3623593</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Remote Just-in-Time Compilation for Dynamic Languages

Popis výsledku v původním jazyce

Cloud platforms allow applications to meet fluctuating levels of demand through automatic horizontal scaling. These deployment models are characterized by short-lived applications running in resource-constrained environments. This amplifies the overhead of dynamic languages with just-in-Time (JIT) compilation. Dynamic-language runtimes suffer from a warmup phase and resource-usage peaks caused by JIT compilation. Offloading compilation jobs to a dedicated server is a possible mitigation for these problems. We propose leveraging remote JIT compilation as a means to enable coordination between the independent instances. By sharing compilation results, aggregating profiles, and adapting the compiler and compilation policy, we strive to improve the peak performance and further reduce the warmup time of these applications. Additionally, an implementation on top of the Truffle framework enables us to bring these benefits to many popular languages.

Název v anglickém jazyce

Remote Just-in-Time Compilation for Dynamic Languages

Popis výsledku anglicky

Cloud platforms allow applications to meet fluctuating levels of demand through automatic horizontal scaling. These deployment models are characterized by short-lived applications running in resource-constrained environments. This amplifies the overhead of dynamic languages with just-in-Time (JIT) compilation. Dynamic-language runtimes suffer from a warmup phase and resource-usage peaks caused by JIT compilation. Offloading compilation jobs to a dedicated server is a possible mitigation for these problems. We propose leveraging remote JIT compilation as a means to enable coordination between the independent instances. By sharing compilation results, aggregating profiles, and adapting the compiler and compilation policy, we strive to improve the peak performance and further reduce the warmup time of these applications. Additionally, an implementation on top of the Truffle framework enables us to bring these benefits to many popular languages.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

SPLASH Companion 2023 - Companion Proceedings of the 2023 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity

ISBN

979-8-4007-0384-3

ISSN

—

e-ISSN

—

Počet stran výsledku

3

Strana od-do

1-3

Název nakladatele

ACM

Místo vydání

USA

Místo konání akce

Cascais, Portugal

Datum konání akce

22. 10. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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