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Parallelizing Julia with a Non-invasive DSL

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F17%3A00313116" target="_blank" >RIV/68407700:21240/17:00313116 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.4230/LIPIcs.ECOOP.2017.4" target="_blank" >http://dx.doi.org/10.4230/LIPIcs.ECOOP.2017.4</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.4230/LIPIcs.ECOOP.2017.4" target="_blank" >10.4230/LIPIcs.ECOOP.2017.4</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Parallelizing Julia with a Non-invasive DSL

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    31st European Conference on Object-Oriented Programming (ECOOP 2017)

  • ISBN

    9783959770354

  • ISSN

    1868-8969

  • e-ISSN

  • Number of pages

    389

  • Pages from-to

    41-429

  • Publisher name

    Schloss Dagstuhl - Leibniz Center for Informatics

  • Place of publication

    Wadern

  • Event location

    Barcelona

  • Event date

    Jun 18, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article