Selected article for: "high performance computing and HPC high performance computing"

Author: Mucenic, B.; Kaligotla, C.; Stevens, A.; Ozik, J.; Collier, N.; Macal, C.; Ieee,
Title: Load Balancing Schemes for Large Synthetic Population-Based Complex Simulators
  • Cord-id: icfr26bf
  • Document date: 2021_1_1
  • ID: icfr26bf
    Snippet: We present our development of load balancing algorithms to efficiently distribute and parallelize the running of large-scale complex agent-based modeling (ABM) simulators on High-Performance Computing (HPC) resources. Our algorithm is based on partitioning the co-location network that emerges from an ABM's underlying synthetic population. Variations of this algorithm are experimentally applied to investigate algorithmic choices on two factors that affect run-time performance. We report these exp
    Document: We present our development of load balancing algorithms to efficiently distribute and parallelize the running of large-scale complex agent-based modeling (ABM) simulators on High-Performance Computing (HPC) resources. Our algorithm is based on partitioning the co-location network that emerges from an ABM's underlying synthetic population. Variations of this algorithm are experimentally applied to investigate algorithmic choices on two factors that affect run-time performance. We report these experiments' results on the CityCOVID ABM, built to model the spread of COVID-19 in the Chicago metropolitan region.

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