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epyc : computational experiment management in Python

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Dobson_2022_JoSS_epyc_computational_experiement_management_Python_CC.pdf (176.9Kb)
Date
18/04/2022
Author
Dobson, Simon Andrew
Keywords
Computational science
High-performance computing
Experimental design
QA76 Computer software
T-NDAS
AC
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Abstract
epyc 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.
Citation
Dobson , S A 2022 , ' epyc : computational experiment management in Python ' , Journal of Open Source Software , vol. 7 , no. 72 , 03764 . https://doi.org/10.21105/joss.03764
Publication
Journal of Open Source Software
Status
Peer reviewed
DOI
https://doi.org/10.21105/joss.03764
ISSN
2475-9066
Type
Journal article
Rights
Authors of papers retain copyright and release the work under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/25237

Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

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