BioDynaMo simulation engine wins Best Artifact Award at PPoPP 2023
Lukas Breitwieser, his co-authors Ahmad Hesam, Fons Rademakers, Juan Gómez Luna, and Onur Mutlu have received the Best Artifact Award at the Principles and Practice of Parallel Programming (PPoPP) 2023 for their high-performance agent-based simulation engine, BioDynaMo.
The innovative simulation engine aims to overcome the limitations of existing simulation platforms by addressing the key challenges of maximizing parallelization, reducing memory access latency, and presenting a mechanism to omit collision force calculation under certain conditions.
Agent-based modeling has become a crucial tool in gaining insights into various fields, including biology, sociology, and economics. However, the low performance of existing agent-based simulation platforms poses a significant challenge for large-scale studies. To tackle this limitation, Lukas Breitwieser and his team present BioDynaMo, a novel high-performance simulation engine that provides solutions to key challenges.
The PPoPP 2023 Artifact Evaluation Committee (AEC) evaluated 24 submissions in total and nominated five artifacts for the Best Artifact Award. BioDynaMo was chosen as the best artifact, receiving recognition for its outstanding contribution to the field of parallel programming.
Congratulations!