Problem
Large-scale cell-based blood simulations naturally produce uneven particle distributions, which can degrade parallel efficiency. I studied how much of total runtime overhead is attributable to load imbalance versus communication.
Approach
- Define a fractional-overhead model for load imbalance in particle-rich flow simulations.
- Measure imbalance overhead in parallel lattice Boltzmann blood simulations.
- Compare measured imbalance against communication overhead across problem scales.
- Validate model predictions against observed performance data.
Key finding
The analytical model matched measured overhead trends well. Communication dominated in tested configurations, but the model predicts imbalance becomes increasingly dominant as systems grow.
Why it matters
Reliable imbalance prediction enables proactive runtime control and better scheduling decisions for high-cost biomedical HPC workloads.
Outputs
- Publication details are listed in the References section below.
- Performance diagnostics and distribution visualizations are shown on this page.