BioDynaMo

BioDynaMo implements high-performance agent-based simulations of large-scale biological systems, leveraging modern hardware to enable scalable studies in neuroscience, oncology, and epidemiology.


Key Features:

  • Agent-based modeling: Uses agent-based modeling techniques to represent individual entities and their interactions within biological systems.
  • High-performance simulation engine: Provides a general-purpose, high-performance simulation engine that achieves speeds up to three orders of magnitude faster than state-of-the-art simulators.
  • Hardware leverage: Leverages modern hardware capabilities to increase computational throughput and resource utilization.
  • Scalability: Enables simulation scenarios involving up to one billion agents on a single server.
  • Domain generality: Supports scalable simulations across multiple biological domains including neuroscience, oncology, and epidemiology.
  • Validation: Compares simulation outcomes with experimental data or analytical solutions for each use case to ensure reliability and accuracy.

Scientific Applications:

  • Neuroscience: Modeling large-scale neural systems and dynamics for neuroscience research.
  • Oncology: Simulating cancer-related biological processes and tumor dynamics at scale.
  • Epidemiology: Modeling population-level disease dynamics and spread for epidemiological studies.

Methodology:

Employs agent-based modeling techniques within a high-performance simulation engine that leverages modern hardware, with validation performed by comparison of simulation outcomes to experimental data or analytical solutions.

Topics

Collections

Details

License:
Apache-2.0
Tool Type:
command-line tool
Programming Languages:
C++
Added:
1/18/2021
Last Updated:
4/28/2022

Operations

Publications

Breitwieser L, Hesam A, de Montigny J, Vavourakis V, Iosif A, Jennings J, Kaiser M, Manca M, Di Meglio A, Al-Ars Z, Rademakers F, Mutlu O, Bauer R. BioDynaMo: a general platform for scalable agent-based simulation. Unknown Journal. 2020. doi:10.1101/2020.06.08.139949.

Links