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Communication Dans Un Congrès Année : 2021

comokit4py : a python package to ease GAMA model’s simulation integration into a high performance computing workflow

Résumé

Agent-based model (ABM) are a kind of computer model that makes it possible to simulate a set of autonomous interacting programs called agents in a shared virtual environment. Among other application field, it has been commonly used to simulate social phenomena such as urban segregation, opinion dynamic or epidemiological crisis. Recently, a research emphasis has been put on ABM to study in silico the impact of non-pharmaceutical interventions to mitigate the SARS-CoV-2 outbreak of 2020, with few of them that had a great impact on global political responses. Among the model used COMOKIT has been design to simulate the every-day-life of inhabitant of various cities in Vietnam and test policy interventions for various COVID-19 spread scenarios. Such endeavor required huge computational power to handle a huge number of simulation replication over a large set of parameters. In this proposal we present a python package that enables to easily generate, explore and build reports for any COMOKIT experiment to be launched over High-Performance Computing (HPC) infrastructure.
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Dates et versions

hal-03500252 , version 1 (22-12-2021)

Identifiants

  • HAL Id : hal-03500252 , version 1

Citer

Arthur Brugière, Kevin Chapuis. comokit4py : a python package to ease GAMA model’s simulation integration into a high performance computing workflow. 1st conference GAMA Days 2021, Frédéric Amblard; Kevin Chapuis; Alexis Drogoul; Benoit Gaudou; Dominique Longin; Nicolas Verstaevel, Jun 2021, Toulouse (Online), France. ⟨hal-03500252⟩
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