2026-08-12T01:32:01Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:7269 2024-03-12T11:58:39Z ddc:004 open_access

Parallelizing Julia with a Non-Invasive DSL Anderson, Todd A. Liu, Hai Kuper, Lindsey Totoni, Ehsan Vitek, Jan Shpeisman, Tatiana parallelism scientific computing domain-specific languages Julia Computational scientists often prototype software using productivity languages that offer high-level programming abstractions. When higher performance is needed, they are obliged to rewrite their code in a lower-level efficiency language. Different solutions have been proposed to address this trade-off between productivity and efficiency. One promising approach is to create embedded domain-specific languages that sacrifice generality for productivity and performance, but practical experience with DSLs points to some road blocks preventing widespread adoption. This paper proposes a non-invasive domain-specific language that makes as few visible changes to the host programming model as possible. We present ParallelAccelerator, a library and compiler for high-level, high-performance scientific computing in Julia. ParallelAccelerator's programming model is aligned with existing Julia programming idioms. Our compiler exposes the implicit parallelism in high-level array-style programs and compiles them to fast, parallel native code. Programs can also run in "library-only" mode, letting users benefit from the full Julia environment and libraries. Our results show encouraging performance improvements with very few changes to source code required. In particular, few to no additional type annotations are necessary. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Todd A. Anderson and Hai Liu and Lindsey Kuper and Ehsan Totoni and Jan Vitek and Tatiana Shpeisman 2017 Is Part Of LIPIcs, Volume 74, 31st European Conference on Object-Oriented Programming (ECOOP 2017) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.ECOOP.2017.4 urn:nbn:de:0030-drops-72693 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2017.4 eng https://creativecommons.org/licenses/by/3.0/legalcode