Supercomputing and Computation

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Discrete Event Simulations, Sequential and Parallel


Discrete Event Simulations  applications form a unique class of supercomputing applications, requiring customized runtime analysis, and core engine software.  Applications with tight runtime needs and large scenario configurations previously unimaginable are made possible.  Multiple proof-of-concept applications to capitalize on the new capabilities stretch modelers’ and users’ solution space.  PDES application areas such as epidemiology, cyber security, logistics, and social behavior modeling are all positively impacted.

Related Projects

1-3 of 4 Results
   

Asynchronous Speculative Methods for Scientific and Mathematical Computing
— Scalability is severely impaired with traditional approaches in supercomputing applications. To enable exascale computation, new technology is needed to relieve synchronization overheads. Moreover, the solution must be evolutionary to transparently port existing applications to exascale platforms.

GARFIELD: Graphical Agents Reacting in a Field
— Large scale vehicular mobility simulations are characterized by long-range queuing and behavioral effects. Control mechanisms and other dynamic phenomena are highly computationally intensive. GARFIELD is a prototype simulation system that incorporates high detail at large scale, executing real-time simulations of US road networks at the scale of a few states (10^6 intersections, 10^8 vehicles).

Towards Parallel Discrete Event Simulation (PDES) at Exascale
— PDES applications form a unique class of supercomputing applications, requiring customized runtime analysis, and core engine software. Few PDES engines and applications exist in the world that have been shown to scale to peta-scale and beyond (105-106 processor cores).

 
   
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