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SPRINGSIM
2008
13 years 9 months ago
Data parallel execution challenges and runtime performance of agent simulations on GPUs
Programmable graphics processing units (GPUs) have emerged as excellent computational platforms for certain general-purpose applications. The data parallel execution capabilities ...
Kalyan S. Perumalla, Brandon G. Aaby
IPPS
2010
IEEE
13 years 5 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...
PPOPP
2011
ACM
12 years 10 months ago
GRace: a low-overhead mechanism for detecting data races in GPU programs
In recent years, GPUs have emerged as an extremely cost-effective means for achieving high performance. Many application developers, including those with no prior parallel program...
Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawa...
ICPADS
2010
IEEE
13 years 5 months ago
GMH: A Message Passing Toolkit for GPU Clusters
Driven by the market demand for high-definition 3D graphics, commodity graphics processing units (GPUs) have evolved into highly parallel, multi-threaded, many-core processors, whi...
Jie Chen, William A. Watson III, Weizhen Mao
IPPS
2010
IEEE
13 years 5 months ago
Performance improvements of real-time crowd simulations
The current challenge for crowd simulations is the design and development of a scalable system that is capable of simulating the individual behavior of millions of complex agents ...
Guillermo Vigueras, Juan M. Orduña, Miguel ...