Simulation, especially discrete event simulation (DES), is used in a variety of disciplines where numerical methods are difficult or impossible to apply. One problem with this method is that a sufficiently detailed simulation may take hours or days to execute, and multiple runs may be needed in order to generate the desired results. Parallel discrete event simulation (PDES) has been explored fo...

The Prosit project, launched in 1991, is devoted to the development of a new discrete event simulation system based on the object paradigm. Object orientation is used to ensure two main concerns: performance on both conventional and multi-processor machines versatility and ease of use. The project described in this paper is a joint effort of Simulog, INRIA and GEC-Alsthom and has been partially...

In simulating applications for execution on specific computing systems, the simulation performance figures must be known in a short period of time. One basic approach to the problem of reducing the required simulation time is the exploitation of parallelism. However, in parallelizing the simulation new problems arise. Due to the distributed generation of events causality errors can occur, as a ...

Discrete-event simulation represents modeling, simulating, and analyzing systems utilizing the computational and mathematical techniques, while creating a model construct of a conceptual framework that describes a system. The system is father simulates by performing experiment(s) using computer implementation of the model and analyzed to draw conclusions from output that assist in decision maki...

Parallel discrete-event simulation (PDES), simply referred to as parallel simulation, is concerned with the execution of discrete-event simulation on parallel computers. PDES has been recognized as a challenging research field bridging between modeling and simulation, and high-performance computing. By exploiting the potential parallelism in a simulation model, PDES can overcome the limitations...

The event-scheduling view of the discrete-event simulation technique is widely used to model and simulate dynamic systems. This paper presents DMOD, a formalization of this technique. It ooers two main advantages. First, it retains the powerful intuitions behind this technique yet makes it easier to use them. In particular, it proposes a new method for logically specifying event preemption. Sec...