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BioDynaMo: a modular platform for high-performance agent-based simulation

Motivation: Agent-based modeling is an indispensable tool for studying complex biological systems. However, existing simulation platforms do not always take full advantage of modern hardware and often have a field-specific software design. Results: We present a novel simulation platform called BioDy...

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Autores principales: Breitwieser, Lukas, Hesam, Ahmad, de Montigny, Jean, Vavourakis, Vasileios, Iosif, Alexandros, Jennings, Jack, Kaiser, Marcus, Manca, Marco, Di Meglio, Alberto, Al-Ars, Zaid, Rademakers, Fons, Mutlu, Onur, Bauer, Roman
Lenguaje:eng
Publicado: 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1093/bioinformatics/btab649
http://cds.cern.ch/record/2800211
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author Breitwieser, Lukas
Hesam, Ahmad
de Montigny, Jean
Vavourakis, Vasileios
Iosif, Alexandros
Jennings, Jack
Kaiser, Marcus
Manca, Marco
Di Meglio, Alberto
Al-Ars, Zaid
Rademakers, Fons
Mutlu, Onur
Bauer, Roman
author_facet Breitwieser, Lukas
Hesam, Ahmad
de Montigny, Jean
Vavourakis, Vasileios
Iosif, Alexandros
Jennings, Jack
Kaiser, Marcus
Manca, Marco
Di Meglio, Alberto
Al-Ars, Zaid
Rademakers, Fons
Mutlu, Onur
Bauer, Roman
author_sort Breitwieser, Lukas
collection CERN
description Motivation: Agent-based modeling is an indispensable tool for studying complex biological systems. However, existing simulation platforms do not always take full advantage of modern hardware and often have a field-specific software design. Results: We present a novel simulation platform called BioDynaMo that alleviates both of these problems. BioDynaMo features a modular and high-performance simulation engine. We demonstrate that BioDynaMo can be used to simulate use cases in: neuroscience, oncology and epidemiology. For each use case, we validate our findings with experimental data or an analytical solution. Our performance results show that BioDynaMo performs up to three orders of magnitude faster than the state-of-the-art baselines. This improvement makes it feasible to simulate each use case with one billion agents on a single server, showcasing the potential BioDynaMo has for computational biology research.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2020
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spelling cern-28002112022-04-02T18:33:10Zdoi:10.1093/bioinformatics/btab649http://cds.cern.ch/record/2800211engBreitwieser, LukasHesam, Ahmadde Montigny, JeanVavourakis, VasileiosIosif, AlexandrosJennings, JackKaiser, MarcusManca, MarcoDi Meglio, AlbertoAl-Ars, ZaidRademakers, FonsMutlu, OnurBauer, RomanBioDynaMo: a modular platform for high-performance agent-based simulationComputing and ComputersMotivation: Agent-based modeling is an indispensable tool for studying complex biological systems. However, existing simulation platforms do not always take full advantage of modern hardware and often have a field-specific software design. Results: We present a novel simulation platform called BioDynaMo that alleviates both of these problems. BioDynaMo features a modular and high-performance simulation engine. We demonstrate that BioDynaMo can be used to simulate use cases in: neuroscience, oncology and epidemiology. For each use case, we validate our findings with experimental data or an analytical solution. Our performance results show that BioDynaMo performs up to three orders of magnitude faster than the state-of-the-art baselines. This improvement makes it feasible to simulate each use case with one billion agents on a single server, showcasing the potential BioDynaMo has for computational biology research.Motivation: Agent-based modeling is an indispensable tool for studying complex biological systems. However, existing simulators do not always take full advantage of modern hardware and often have a field-specific software design. Results: We present a novel simulation platform called BioDynaMo that alleviates both of these problems. BioDynaMo features a general-purpose and high-performance simulation engine. We demonstrate that BioDynaMo can be used to simulate use cases in: neuroscience, oncology, and epidemiology. For each use case we validate our findings with experimental data or an analytical solution. Our performance results show that BioDynaMo performs up to three orders of magnitude faster than the state-of-the-art baseline. This improvement makes it feasible to simulate each use case with one billion agents on a single server, showcasing the potential BioDynaMo has for computational biology research. Availability: BioDynaMo is an open-source project under the Apache 2.0 license and is available at www.biodynamo.org. Instructions to reproduce the results are available in supplementary information. Contact: lukas.breitwieser@inf.ethz.ch, a.s.hesam@tudelft.nl, omutlu@ethz.ch, r.bauer@surrey.ac.uk Supplementary information: Available at https://doi.org/10.5281/zenodo.4501515arXiv:2006.06775oai:cds.cern.ch:28002112020-06-11
spellingShingle Computing and Computers
Breitwieser, Lukas
Hesam, Ahmad
de Montigny, Jean
Vavourakis, Vasileios
Iosif, Alexandros
Jennings, Jack
Kaiser, Marcus
Manca, Marco
Di Meglio, Alberto
Al-Ars, Zaid
Rademakers, Fons
Mutlu, Onur
Bauer, Roman
BioDynaMo: a modular platform for high-performance agent-based simulation
title BioDynaMo: a modular platform for high-performance agent-based simulation
title_full BioDynaMo: a modular platform for high-performance agent-based simulation
title_fullStr BioDynaMo: a modular platform for high-performance agent-based simulation
title_full_unstemmed BioDynaMo: a modular platform for high-performance agent-based simulation
title_short BioDynaMo: a modular platform for high-performance agent-based simulation
title_sort biodynamo: a modular platform for high-performance agent-based simulation
topic Computing and Computers
url https://dx.doi.org/10.1093/bioinformatics/btab649
http://cds.cern.ch/record/2800211
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