In parallel discrete event simulation techniques, the simulation model is partitioned into objects, concurrently executing events on different CPUs and/or multiple CPU-Cores. In. such a context, run-time supports for logical time synchronization across the different simulation objects play a central role in determining the effectiveness of the specific parallel simulation environment. hi this paper vile present an experimental evaluation of the memory management capabilities offered by the ROme OpTimistic Simulator (ROOT-Sim). This is an open source parallel simulation environment transparently supporting optimistic synchronization via recoverability (based on incremental log/restore techniques) of any type of memory operation affecting the...
In optimistically synchronized parallel simulators logical processes execute events greedily and rec...
The advent of multi-core machines has lead to the need for revising the architecture of modern simul...
Simulation is a powerful technique to explore complex scenarios and analyze systems related to a wid...
In parallel discrete event simulation techniques, the simulation model is partitioned into objects, ...
The ROme OpTimistic Simulator is an x86 Open Source, parallel/distributed simulation platform develo...
Parallel Discrete Event Simulation is a well known technique for executing complex general-purpose s...
Parallel Discrete Event Simulation is a well known technique for executing complex general-purpose s...
Parallel Discrete Event Simulation (PDES) is a classical means to achieve high performance simulatio...
An approach to high-performance discrete event simulation consists of exploiting parallelization tec...
It is well known that Parallel Discrete Event Simulation systems may suffer, in terms of delivered p...
In Parallel Discrete Event Simulation (PDES), the simulation model is partitioned into a set of dist...
Parallel Discrete Event Simulation (PDES) is based on the partitioning of the simulation model into ...
In this tutorial we present the ROme OpTimistic Simulator (ROOT-Sim), a general-purpose Parallel Dis...
This article presents an innovative runtime support for speculative parallel processing of discrete ...
In optimistically synchronized parallel simulators logical processes execute events greedily and rec...
The advent of multi-core machines has lead to the need for revising the architecture of modern simul...
Simulation is a powerful technique to explore complex scenarios and analyze systems related to a wid...
In parallel discrete event simulation techniques, the simulation model is partitioned into objects, ...
The ROme OpTimistic Simulator is an x86 Open Source, parallel/distributed simulation platform develo...
Parallel Discrete Event Simulation is a well known technique for executing complex general-purpose s...
Parallel Discrete Event Simulation is a well known technique for executing complex general-purpose s...
Parallel Discrete Event Simulation (PDES) is a classical means to achieve high performance simulatio...
An approach to high-performance discrete event simulation consists of exploiting parallelization tec...
It is well known that Parallel Discrete Event Simulation systems may suffer, in terms of delivered p...
In Parallel Discrete Event Simulation (PDES), the simulation model is partitioned into a set of dist...
Parallel Discrete Event Simulation (PDES) is based on the partitioning of the simulation model into ...
In this tutorial we present the ROme OpTimistic Simulator (ROOT-Sim), a general-purpose Parallel Dis...
This article presents an innovative runtime support for speculative parallel processing of discrete ...
In optimistically synchronized parallel simulators logical processes execute events greedily and rec...
The advent of multi-core machines has lead to the need for revising the architecture of modern simul...
Simulation is a powerful technique to explore complex scenarios and analyze systems related to a wid...