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» Performance Prediction of a Parallel Simulator
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IPPS
2010
IEEE
14 years 7 months ago
Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs
The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important too...
Lifan Xu, Michela Taufer, Stuart Collins, Dionisio...
PADS
2004
ACM
15 years 3 months ago
Optimizing Parallel Execution of Detailed Wireless Network Simulation
With Parallel and Discrete Event Simulation (PDES) techniques, the runtime performance of detailed wireless network simulation can be improved significantly without compromising ...
Zhengrong Ji, Junlan Zhou, Mineo Takai, Jay Martin...
SBACPAD
2006
IEEE
102views Hardware» more  SBACPAD 2006»
15 years 3 months ago
Ultra-Fast CPU Performance Prediction: Extending the Monte Carlo Approach
Performance evaluation of contemporary processors is becoming increasingly difficult due to the lack of proper frameworks. Traditionally, cycle-accurate simulators have been exte...
Ram Srinivasan, Jeanine Cook, Olaf M. Lubeck
WSC
2001
14 years 11 months ago
Managing event traces for a web front-end to a parallel simulation
To enhance the widespread use of a parallel supply chain simulator, a web front-end that enables access at any time and from any location has been developed. The front-end provide...
Boon-Ping Gan, Li Liu, Zhengrong Ji, Stephen John ...
PADS
1999
ACM
15 years 2 months ago
Exploiting Temporal Uncertainty in Parallel and Distributed Simulations
Most work to date in parallel and distributed discrete event simulation is based on assigning precise time stamps to events, and time stamp order event processing. An alternative ...
Richard Fujimoto