In this paper we deal with the impact of multi and many-core processor architectures on simulation. Despite the fact that modern CPUs have an increasingly large number of cores, most softwares are still unable to take advantage of them. In the last years, many tools, programming languages and general methodologies have been proposed to help building scalable applications for multi-core architectures, but those solutions are somewhat limited. Parallel and distributed simulation is an interesting application area in which effi-cient and scalable multi-core implementations would be de-sirable. In this paper we investigate the use of the Go Pro-gramming Language to implement optimistic parallel sim-ulations based on the Time Warp mechanism. Spe...
Abstract—Multi-core processors are commonly available now, but most traditional computer architectur...
An approach to high-performance discrete event simulation consists of exploiting parallelization tec...
Traditionally, Logical Processes (LPs) forming a simulation model store their execution information ...
In this paper we deal with the impact of multi and many-core processor architectures on simulation. ...
Parallel Discrete Event Simulation (PDES) is a classical means to achieve high performance simulatio...
Abstract – Parallel simulation methods suffer from serious communication and synchronization overhea...
As the speed increase of single-core processors keeps declining, it is important to adapt simulation...
The two main approaches to parallel discrete event simulation – conservative and optimistic- are lik...
Parallel Discrete Event Simulation (PDES) is based on the partitioning of the simulation model into ...
Go-Warp is a simulator based on the Time Warp synchronization algorithm and implemented using the Go...
Simulation is a powerful technique to represent the evolution of realworld phenomena or systems ove...
In Parallel Discrete Event Simulation (PDES), the simulation model is partitioned into a set of dist...
Multi-core design for CPU is the recent trend and we believe the trend will continue in near future....
In this article we address the reshuffle of the design of optimistic simulation kernels in order to ...
This paper describes issues concerning the design of an optimistic parallel discrete event simulatio...
Abstract—Multi-core processors are commonly available now, but most traditional computer architectur...
An approach to high-performance discrete event simulation consists of exploiting parallelization tec...
Traditionally, Logical Processes (LPs) forming a simulation model store their execution information ...
In this paper we deal with the impact of multi and many-core processor architectures on simulation. ...
Parallel Discrete Event Simulation (PDES) is a classical means to achieve high performance simulatio...
Abstract – Parallel simulation methods suffer from serious communication and synchronization overhea...
As the speed increase of single-core processors keeps declining, it is important to adapt simulation...
The two main approaches to parallel discrete event simulation – conservative and optimistic- are lik...
Parallel Discrete Event Simulation (PDES) is based on the partitioning of the simulation model into ...
Go-Warp is a simulator based on the Time Warp synchronization algorithm and implemented using the Go...
Simulation is a powerful technique to represent the evolution of realworld phenomena or systems ove...
In Parallel Discrete Event Simulation (PDES), the simulation model is partitioned into a set of dist...
Multi-core design for CPU is the recent trend and we believe the trend will continue in near future....
In this article we address the reshuffle of the design of optimistic simulation kernels in order to ...
This paper describes issues concerning the design of an optimistic parallel discrete event simulatio...
Abstract—Multi-core processors are commonly available now, but most traditional computer architectur...
An approach to high-performance discrete event simulation consists of exploiting parallelization tec...
Traditionally, Logical Processes (LPs) forming a simulation model store their execution information ...