DARTS.3.2.7.pdf
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Parallelizing Julia with a Non-Invasive DSL (Artifact)
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Issue:
Special Issue of the 31st European Conference on Object-Oriented Programming (ECOOP 2017)
Volume: DARTS, Volume 3 (ECOOP 2017)
Conference: European Conference on Object-Oriented Programming (ECOOP)
Journal: Dagstuhl Artifacts Series (DARTS) - License:
Creative Commons Attribution 3.0 Germany license
- Publication Date: 2017-06-20
Cite AsGet BibTex
Todd A. Anderson, Hai Liu, Lindsey Kuper, Ehsan Totoni, Jan Vitek, and Tatiana Shpeisman. Parallelizing Julia with a Non-Invasive DSL (Artifact). In Special Issue of the 31st European Conference on Object-Oriented Programming (ECOOP 2017). Dagstuhl Artifacts Series (DARTS), Volume 3, Issue 2, pp. 7:1-7:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)
https://doi.org/10.4230/DARTS.3.2.7
https://doi.org/10.4230/DARTS.3.2.7
Artifact
DARTS-3-2-7-artifact-c8eba9e27a8c6c2b45612c883e20bbac.zip
(Filesize: 54.96 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.
Keywords
- parallelism
- scientific computing
- domain-specific languages
- Julia
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