{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/190503448","title":"parasweep: A template-based utility for generating, dispatching, and post-processing of parameter sweeps","arxiv_id":"1905.03448","date":"2019-05-09","proceeding":null,"authors":["Eviatar Bach"],"abstract":"We introduce parasweep, a free and open-source utility for facilitating parallel parameter sweeps with computational models. Instead of requiring parameters to be passed by command-line, which can be error-prone and time-consuming, parasweep leverages the model's existing configuration files using a template system, requiring minimal code changes. parasweep supports a variety different sweep types, generating parameter sets accordingly and dispatching a parallel job for each set, with support for local execution as well as common high-performance computing (HPC) job schedulers. Post-processing is facilitated by providing a mapping between the parameter sets and the simulations. We demonstrate the usage of parasweep with an example.","url_abs":"https://arxiv.org/abs/1905.03448v2","url_pdf":"https://arxiv.org/pdf/1905.03448v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"190503448","repo_url":"https://github.com/eviatarbach/parasweep","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}