License: Creative Commons Attribution 3.0 Germany license (CC BY 3.0 DE)
When quoting this document, please refer to the following
DOI: 10.4230/DARTS.3.2.7
URN: urn:nbn:de:0030-drops-72888
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/7288/
Go back to Dagstuhl Artifacts Series

Anderson, Todd A. ; Liu, Hai ; Kuper, Lindsey ; Totoni, Ehsan ; Vitek, Jan ; Shpeisman, Tatiana

Parallelizing Julia with a Non-Invasive DSL (Artifact)

pdf-format:
DARTS-3-2-7.pdf (0.3 MB)

Abstract

This artifact is based on ParallelAccelerator, an embedded domain-specific language (DSL) and compiler for speeding up compute-intensive Julia programs. In particular, Julia code that makes heavy use of aggregate array operations is a good candidate for speeding up with ParallelAccelerator. ParallelAccelerator is a non-invasive DSL that makes as few changes to the host programming model as possible.

BibTeX - Entry

@Article{anderson_et_al:DARTS:2017:7288,
  author =	{Todd A. Anderson and Hai Liu and Lindsey Kuper and Ehsan Totoni and Jan Vitek and Tatiana Shpeisman},
  title =	{{Parallelizing Julia with a Non-Invasive DSL (Artifact)}},
  pages =	{7:1--7:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2017},
  volume =	{3},
  number =	{2},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7288},
  URN =		{urn:nbn:de:0030-drops-72888},
  doi =		{10.4230/DARTS.3.2.7},
  annote =	{Keywords: parallelism, scientific computing, domain-specific languages, Julia}
}

Keywords: parallelism, scientific computing, domain-specific languages, Julia
Collection: DARTS, Volume 3, Issue 2
Related Scholarly Article: http://dx.doi.org/10.4230/LIPIcs.ECOOP.2017.4
Issue Date: 2017
Date of publication: 20.06.2017

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI