For many years globally convergent probability-one homotopy methods have been remarkably successful on difficult realistic engineering optimization problems,most of which were attacked by homotopy methods because other ...

This paper describes a new approach for reducing the number of the fitness function evaluations required by a genetic algorithm (GA) for optimization problems with mixed continuous and discrete design variables. The proposed ...

The inherent structure of cellular automata is trivially parallelizable and can directly benefit from massively parallel machines in computationally intensive problems. This paper presents both synchronous and pipeline ...

We describe the sequential and parallel performance of a nonlinear transport simulation code. This code is used by researchers at Virginia Tech to investigate phenomena underlying the emerging eld of molecular electronics. ...

In this paper we study the parallel scalability of variants of additive Schwarz preconditioners for three dimensional non-overlapping domain decomposition methods. To alleviate the computational cost, both in terms of ...

Computational grids are becoming increasingly popular as an infrastructure for computa- tional science research. The demand for high-level tools and problem solving environments has prompted active research in Grid Computing ...

Numerous hierarchical and nonhierarchical decomposition strategies for the optimization of large scale systems, comprised of interacting subsystems, have been proposed. With a few exceptions, all of these strategies have ...

This paper describes an approach for enforcing dependencies between network traffic and user activities for anomaly detection. We present a framework and algorithms that analyze user actions and network events on a host ...

Traditional parallel methods for structural design do not scale well. This paper discusses the application of massively scalable cellular automata (CA) techniques to structural design. There are two sets of CA rules, one ...

Ensembles of simulations are employed to estimate the statistics of possible future states of a system, and are widely used in important applications such as climate change and biological modeling. Ensembles of runs can ...