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Mesoscopic Modeling and Rapid Simulation of Incremental Changes in Epidemic Scenarios on GPUs: Fast What–If Analyses of Localized and Dynamic Effects
A mesoscopic modeling approach is described that strikes a middle ground between macroscopic models based on coupled differential equations and microscopic models built on fine-grained behaviors at the individual entity level. Execution of our implementation scaled to 8192 GPUs of supercomputing platforms demonstrates the ability to rapidly evaluate what–if scenarios several orders of magnitude faster than the conventional methods.
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Mesoscopic Modeling and Rapid Simulation of Incremental Changes in Epidemic Scenarios on GPUs: Fast What–If Analyses of Localized and Dynamic Effects
Discrete Event Execution with One-Sided and Two-Sided GVT Algorithms on 216,000 Processor Cores
Global virtual time (GVT) computation is a key determinant of the efficiency and runtime dynamics of parallel discrete event simulations (PDES)…
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Discrete Event Execution with One-Sided and Two-Sided GVT Algorithms on 216,000 Processor Cores
Simulating Billion-Task Parallel Programs
In simulating large parallel systems, bottom-up approaches exercise detailed hardware models with effects from simplified software models or traces, …
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Simulating Billion-Task Parallel Programs
Virtual Machine-Based Simulation Platform For MANET-Based Cyber Infrastructure
In modeling and simulating complex systems such as mobile ad-hoc networks (MANETs) in defense communications, …
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Virtual Machine-Based Simulation Platform For MANET-Based Cyber Infrastructure
Introduction to Reversible Computing
Few books comprehensively cover the software and programming aspects of reversible computing. Fillin…
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Introduction to Reversible Computing
Reversible Simulations of Elastic Collisions
Consider a system of N identical hard spherical particles moving in a d-dimensional box and undergoi…
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Reversible Simulations of Elastic Collisions