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DTSTART;TZID=America/Denver:20231114T100000
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UID:submissions.supercomputing.org_SC23_sess291_rpost152@linklings.com
SUMMARY:PanSim: A Performance-Portable Agent Based Model
DESCRIPTION:Istvan Z. Reguly, Bence Keömley-Horváth, Gábor Szederkényi, an
 d Attila Csikász-Nagy (Pázmány Péter Catholic University, Hungary)\n\nPanS
 im, a specialized agent-based model, was developed to analyze intervention
 s against COVID-19. Implemented in C++ and Thrust, it is a highly performa
 nt and portable code. Here we focus on different algorithmic formulations 
 for calculating cumulative values like infectiousness at different locatio
 ns. A detailed comparison of time and efficiency on different CPUs and GPU
 s was conducted, revealing suboptimal parallel efficiency. The time to exe
 cute 704 simulations on each platform was evaluated, emphasizing overall t
 hroughput instead of latency for more taxing workloads. We benchmarked mod
 ern CPU and GPU architectures, revealing the superior performance of NVIDI
 A A100 and AMD Genoa-X platforms.  Additionally, the monetary cost associa
 ted with executing the simulations was analyzed, presenting a contrasting 
 landscape in on-demand and spot pricing. Ampere Altra platform emerged as 
 the most cost-effective. The findings contribute to understanding the effi
 ciency, time, and cost dynamics in modeling and provide insights for the p
 ractice of pandemic response planning.\n\nTag: Artificial Intelligence/Mac
 hine Learning, Architecture and Networks, Heterogeneous Computing, I/O and
  File Systems, Performance Measurement, Modeling, and Tools, Post-Moore Co
 mputing, Programming Frameworks and System Software, Quantum Computing\n\n
 Registration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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