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dc.contributor.authorDobson, Simon Andrew
dc.identifier.citationDobson , S A 2022 , ' epyc : computational experiment management in Python ' , Journal of Open Source Software , vol. 7 , no. 72 , 03764 .
dc.identifier.otherPURE: 279066498
dc.identifier.otherPURE UUID: eedb4da7-d693-4c55-9da8-a334e1832bc9
dc.identifier.otherORCID: /0000-0001-9633-2103/work/111972181
dc.description.abstractepyc is a Python module for designing, executing, storing, and analysing the results of large sets of (possibly long-running) computational experiments, as are often found when writing simulations of complex networks and other domains. It allows the same experimental code to be run on single machines, multicore machines, and computational clusters without modification, and automatically manages the execution of an experiment for different parameter values and for multiple repetitions.
dc.relation.ispartofJournal of Open Source Softwareen
dc.rightsAuthors of papers retain copyright and release the work under a Creative Commons Attribution 4.0 International License (CC BY 4.0).en
dc.subjectComputational scienceen
dc.subjectHigh-performance computingen
dc.subjectExperimental designen
dc.subjectQA76 Computer softwareen
dc.titleepyc : computational experiment management in Pythonen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. Sir James Mackenzie Institute for Early Diagnosisen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.description.statusPeer revieweden

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