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Closing a Source Complexity Gap between Chapel and HPX

Distributed, Parallel, and Cluster Computing 2025-11-26 v1
Authors: Shreyas Atre , Chris Taylor , Patrick Diehl , Hartmut Kaiser
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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.

Cite

@article{arxiv.2502.07258,
  title  = {Closing a Source Complexity Gap between Chapel and HPX},
  author = {Shreyas Atre and Chris Taylor and Patrick Diehl and Hartmut Kaiser},
  journal= {arXiv preprint arXiv:2502.07258},
  year   = {2025}
}

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