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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...
Autores principales: | , , , , , , , , , , , , |
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Lenguaje: | eng |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1093/bioinformatics/btab649 http://cds.cern.ch/record/2800211 |
_version_ | 1780972619582930944 |
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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. |
id | cern-2800211 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2020 |
record_format | invenio |
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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