The system presented bridges the gap between three different research areas: discrete event simulation, heuristic optimization methods and distributed systems technology. Its goal...
Causality constraints of random discrete simulation make parallel and distributed processing difficult. Methods of applying reconfigurable logic to implement and accelerate simula...
Scientists have long relied on abstract models to study phenomena that are too complex for direct observation and experimentation. As new scientific modeling methodologies emerge...
This paper presents how the DUP System, a straightforward POSIX-compatible framework that enables programminglanguage-agnostic parallel and distributed stream processing, can be u...
Nathan S. Evans, Chris GauthierDickey, Christian G...
Abstract. Decentralised, event-driven distributed simulation is particularly suitable for modelling systems with inherent asynchronous parallelism, such as agentbased systems. Howe...
Michael Lees, Brian Logan, Rob Minson, Ton Oguara,...