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: https://drops.dagstuhl.de/opus/volltexte/2017/7288/
Anderson, Todd A. ; Liu, Hai ; Kuper, Lindsey ; Totoni, Ehsan ; Vitek, Jan ; Shpeisman, Tatiana
Parallelizing Julia with a Non-Invasive DSL (Artifact)
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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 | |
| Seminar: | 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 |
