ABSTRACT Distributed synchronization for parallel simulation is generally classified as being either optimistic or conservative. While considerable investigations have been conducted to analyze and optimize each of these synchronization strategies, very little study on the definition and strictness of causality have been conducted. Do we really need to preserve causality in all types of simulations? This paper attempts to answer this question. We argue that significant performance gains can be made by reconsidering this definition to decide if the parallel simulation needs to preserve causality. We investigate the feasibility of unsynchronized parallel simulation through the use of several queuing model simulations and present a comparative...
Parallel discrete event simulation (PDES) is concerned with the distributed execution of large-scale...
Exploiting an efficient scheme for parallel discrete event simulation requires precise information a...
Simulation is a powerful technique to represent the evolution of realworld phenomena or systems ove...
In simulating applications for execution on specific computing systems, the simulation perfor-mance ...
In simulating applications for execution on specific computing systems, the simulation performance f...
Discrete event simulation is an important tool for evaluating system models in many fields of scienc...
Discrete event simulation is an important tool for evaluating system models in many fields of scienc...
Discrete event simulation is an important tool for evaluating system models in many fields of scienc...
This paper introduces the notion of weak causality that models the intra-object parallelism in paral...
The achievements attained in accelerating the simulation of the dynamics of complex discrete event s...
This paper presents a framework for distributed simulation that is based on system-theoretic and log...
The two main approaches to parallel discrete event simulation – conservative and optimistic- are lik...
In optimistically synchronized parallel simulators logical processes execute events greedily and rec...
Abstract – Parallel simulation methods suffer from serious communication and synchronization overhea...
This work attempts to provide insight into the problem of executing discrete event simulation in a d...
Parallel discrete event simulation (PDES) is concerned with the distributed execution of large-scale...
Exploiting an efficient scheme for parallel discrete event simulation requires precise information a...
Simulation is a powerful technique to represent the evolution of realworld phenomena or systems ove...
In simulating applications for execution on specific computing systems, the simulation perfor-mance ...
In simulating applications for execution on specific computing systems, the simulation performance f...
Discrete event simulation is an important tool for evaluating system models in many fields of scienc...
Discrete event simulation is an important tool for evaluating system models in many fields of scienc...
Discrete event simulation is an important tool for evaluating system models in many fields of scienc...
This paper introduces the notion of weak causality that models the intra-object parallelism in paral...
The achievements attained in accelerating the simulation of the dynamics of complex discrete event s...
This paper presents a framework for distributed simulation that is based on system-theoretic and log...
The two main approaches to parallel discrete event simulation – conservative and optimistic- are lik...
In optimistically synchronized parallel simulators logical processes execute events greedily and rec...
Abstract – Parallel simulation methods suffer from serious communication and synchronization overhea...
This work attempts to provide insight into the problem of executing discrete event simulation in a d...
Parallel discrete event simulation (PDES) is concerned with the distributed execution of large-scale...
Exploiting an efficient scheme for parallel discrete event simulation requires precise information a...
Simulation is a powerful technique to represent the evolution of realworld phenomena or systems ove...