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

Author:

Breitwieser Lukas12ORCID,Hesam Ahmad13,de Montigny Jean1,Vavourakis Vasileios45,Iosif Alexandros4,Jennings Jack6,Kaiser Marcus678,Manca Marco9ORCID,Di Meglio Alberto1,Al-Ars Zaid3,Rademakers Fons1,Mutlu Onur210,Bauer Roman11

Affiliation:

1. CERN openlab, IT Department, CERN, Geneva 1211, Switzerland

2. Department of Computer Science, ETH Zurich, Zurich 8092, Switzerland

3. Department of Quantum & Computer Engineering, Delft University of Technology, Delft 2628CD, The Netherlands

4. Department of Mechanical & Manufacturing Engineering, University of Cyprus, Nicosia 2109, Cyprus

5. Department of Medical Physics & Biomedical Engineering, University College London, London WC1E 6BT, UK

6. School of Computing, Newcastle University, Newcastle upon Tyne NE4 5TG, UK

7. Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China

8. Precision Imaging Beacon, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK

9. SCimPulse Foundation, Geleen 6162 BC, The Netherlands

10. Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich 8092, Switzerland

11. Department of Computer Science, University of Surrey, Guildford GU2 7XH, UK

Abstract

Abstract 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. Availability and implementation 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 the supplementary information. Supplementary information Available at https://doi.org/10.5281/zenodo.5121618.

Funder

CERN Knowledge Transfer office

Israeli Innovation Authority

Research Excellence Academy from the Faculty of Medical Science of the Newcastle University

UCY StartUp Grant scheme

Medical Research Council of the United Kingdom

Engineering and Physical Sciences Research Council of the UK

Newcastle University’s School of Computing

Wellcome Trust

Guangci Professorship Program of Ruijin Hospital

SAFARI Research Group’s industrial partners including Huawei

Intel, Microsoft, and VMware

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference34 articles.

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