Workshop: First Combined International Workshop on Interactive Urgent Supercomputing
Authors: Istvan Z. Reguly, Bence Keömley-Horváth, Gergely Horvath, Bálint Siklósi, Kálmán Tornai, János Juhasz, Gábor Szederkényi, György Cserey, and Attila Csikász-Nagy (Pázmány Péter Catholic University, Hungary)
Abstract: The COVID-19 pandemic has presented a clear and present need for urgent decision making. Set in an environment of uncertain and unreliable data, and a diverse range of possible interventions, there is an obvious need for integrating HPC into workflows that include model calibration, and the exploration of the decision space. We present the design of PanSim, a portable, performant, and productive agent-based simulator, which has been extensively used to model and forecast the pandemic in Hungary. We show its performance and scalability on CPUs and GPUs, then we discuss the workflows PanSim integrates into. We describe the heterogeneous, resource-constrained HPC environment available to us, and formulate a scheduling optimization problem, as well as heuristics to solve them, to either minimize the execution time of a given number of simulations or to maximize the number of simulations executed in a given time frame.