Supercomputers are increasingly complex systems merging conventional microprocessors with system on a chip level designs that provide the network interface and router. At Sandia N...
Keith D. Underwood, Michael Levenhagen, Arun Rodri...
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...
Network performance measurement and prediction is one of the most prominent and indispensable components in distributed computing environments. The selection of the most advantage...
The architectures which support modern supercomputing machinery are as diverse today, as at any point during the last twenty years. The variety of processor core arrangements, thr...
Simon D. Hammond, J. A. Smith, Gihan R. Mudalige, ...
A comparative study of parallel metaheuristics executed in grid environments is proposed, having as case study a genetic algorithm, a simulated annealing algorithm and a random se...