English

Meld: Exploring the Feasibility of a Framework-less Framework

Distributed, Parallel, and Cluster Computing 2023-09-04 v1 High Energy Physics - Experiment Computational Physics

Abstract

HEP data-processing frameworks are essential ingredients in getting from raw data to physics results. But they are often tricky to use well, and they present a significant learning barrier for the beginning HEP physicist. In addition, existing frameworks typically support rigid, collider-based data models, which do not map well to neutrino-physics experiments like DUNE. Neutrino physicists thus expend significant effort working around framework limitations instead of using a framework that directly supports their needs. Presented here is Meld, a Fermilab R&D project, which intends to address these limitations. By leveraging modern C++ capabilities, state-of-the-art concurrency libraries, and a flexible data model, it is possible for beginning (and seasoned) HEP physicists to execute framework programs easily and efficiently, with minimal coupling to framework-specific constructs. Meld aims to directly support the frameworks needs of neutrino experiments like DUNE as well as the more common collider-based experiments.

Keywords

Cite

@article{arxiv.2308.16710,
  title  = {Meld: Exploring the Feasibility of a Framework-less Framework},
  author = {Kyle J. Knoepfel},
  journal= {arXiv preprint arXiv:2308.16710},
  year   = {2023}
}

Comments

8 pages, 5 figures, 1 table, To be published in Proceedings of CHEP23

R2 v1 2026-06-28T12:09:20.940Z