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PreprintCC BY-NC-ND 4.0arXiv

Easier parameter scans with hmcdj

  • Alexis Verney-Provatas
  • Ed Bennett
  • Gaurav Ray
Open at sourcePDFDOICite

Abstract

We present hmcdj, a new tool developed to ease the process of generating large numbers of gauge ensembles for a given theory. Building on top of the Grid library, hmcdj allows quick specification of lattice gauge theories in C++ with minimal boilerplate, and precise specification of per-ensemble parameters to be controlled at run time from a YAML input file. Additionally, it supports many quality-of-life features for managing large numbers of running jobs, including automatic tuning of the molecular dynamics step size to control the Metropolis acceptance rate; output of ILDG-compliant data; and integration with HPC schedulers to dynamically adapt the target trajectory count of a job to match its time limits. hmcdj is openly available under the GPLv2 license, and welcomes new contributions.

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Cite

BibTeXRIS
BibTeX
@misc{verneyprovatas2026easier,
  title = {{Easier parameter scans with hmcdj}},
  author = {Alexis Verney-Provatas and Ed Bennett and Gaurav Ray},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.37120},
  eprint = {2610.37120},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.37120},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - UNPB
TI  - Easier parameter scans with hmcdj
AU  - Alexis Verney-Provatas
AU  - Ed Bennett
AU  - Gaurav Ray
PY  - 2026
DA  - 2026/10/27
PB  - arXiv
DO  - 10.48550/arxiv.2610.37120
UR  - https://arxiv.org/abs/2610.37120
AB  - We present hmcdj, a new tool developed to ease the process of generating large numbers of gauge ensembles for a given theory. Building on top of the Grid library, hmcdj allows quick specification of lattice gauge theories in C++ with minimal boilerplate, and precise specification of per-ensemble parameters to be controlled at run time from a YAML input file. Additionally, it supports many quality-of-life features for managing large numbers of running jobs, including automatic tuning of the molecular dynamics step size to control the Metropolis acceptance rate; output of ILDG-compliant data; and integration with HPC schedulers to dynamically adapt the target trajectory count of a job to match its time limits. hmcdj is openly available under the GPLv2 license, and welcomes new contributions.
ER  -