Chplx — an Asynchronous Many Task Runtime Foundation for Chapel

A previous case study measured performance vs source-code complexity across multiple languages. The case study identified Chapel and HPX provide similar performance and code complexity. This paper is the result of initial steps toward closing the source-code complexity gap between Chapel and HPX by using a source-to-source compiler. The investigation assesses the single-machine performance of both Chapel and Chplx applications across Arm and x86.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-21
DOI
https://doi.org/10.5281/zenodo.14908149
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Chplx — an Asynchronous Many Task Runtime Foundation for Chapel

Zenodo (CERN European Organization for Nuclear Research)
Parallel Computing and Optimization Techniques
article

Chplx — an Asynchronous Many Task Runtime Foundation for Chapel

article en

Abstract

A previous case study measured performance vs source-code complexity across multiple languages. The case study identified Chapel and HPX provide similar performance and code complexity. This paper is the result of initial steps toward closing the source-code complexity gap between Chapel and HPX by using a source-to-source compiler. The investigation assesses the single-machine performance of both Chapel and Chplx applications across Arm and x86.

Zenodo (CERN European Organization for Nuclear Research)
Louisiana State University (US), Los Alamos National Laboratory (US), Caraga State University (PH), Glycemic Index Laboratories (CA)
Industry, innovation and infrastructure
Openalex Percentile: Top 53%
Parallel Computing and Optimization Techniques
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