Taking into account input-model, input-parameter, and stochastic uncertainties inherent in many simulations, our Bayesian approach to input modeling yields valid point and confide...
—“Autonomic systems” merge advancements in the field of multi-agent software design, dynamic analysis, and decentralized control in order to assist designers in constructing...
Parallel computing on volatile distributed resources requires schedulers that consider job and resource characteristics. We study unconventional computing environments containing ...
Brent Rood, Nathan Gnanasambandam, Michael J. Lewi...
There are two popular parallel programming paradigms available to high performance computing users such as engineering and physics professionals: message passing and distributed s...
Lorena B. C. Passos, Gerson H. Pfitscher, Tarcisio...
In this paper, we discuss the critical role of simulation input modeling in a successful simulation study. Two pitfalls in simulation input modeling are then presented and we expl...