Cellular Dynamic Simulator: an event driven molecular simulation environment

An O(N) general event-driven simulator: DYNAMO

Molecular-dynamics algorithms for systems interacting through discrete or “hard” potentials are fundamentally different to the methods for continuous or “soft” potential systems. Although many software packages have been developed for continuous potential systems, software for discrete potential systems based on event-driven algorithms are relatively scarce and fairly specialized. We present DY...

Lookup Table Powered Neural Event-Driven Simulator

A novel method for efficiently simulating large scale realistic neural networks is described. Most information transmission in these networks is accomplished by the so called action potentials, events which are considerably sparse and well-localized in time. This facilitates a dramatic reduction of the computational load through the application of the event-driven simulation schemes. However, s...

Event-driven and Attribute-driven Robustness

Over five decades have passed since the first wave of robust optimization studies conducted by Soyster and Falk. It is outstanding that real-life applications of robust optimization are still swept aside; there is much more potential for investigating the exact nature of uncertainties to obtain intelligent robust models. For this purpose, in this study, we investigate a more refined description...

Event Driven Simulation

Computational Fluid Dynamic Solver based on Cellular Discrete-Event Simulation

Computational Fluid Dynamics (CFD) deals with computing the equations of fluid flows using numerical methods. The Discrete-Event System specification (DEVS) theory has been used to approximate the continuous systems by applying a quantized state system approach. In this research, we employ Cellular DEVS theory (Cell-DEVS) – originally proposed for modeling and simulation of spatial environments...