ACM Transactions on Programming Languages and Systems (TOPLAS)
Optimistic distributed timed cosimulation based on thread simulation model
Proceedings of the 6th international workshop on Hardware/software codesign
Asynchronous distributed simulation via a sequence of parallel computations
Communications of the ACM - Special issue on simulation modeling and statistical computing
Parallel simulation: parallel and distributed simulation systems
Proceedings of the 33nd conference on Winter simulation
Composite Synchronization in Parallel Discrete-Event Simulation
IEEE Transactions on Parallel and Distributed Systems
Journal of Parallel and Distributed Computing
Conservative synchronization of large-scale network simulations
Proceedings of the eighteenth workshop on Parallel and distributed simulation
Enhancing Performance of HW/SW Cosimulation and Coemulation by Reducing Communication Overhead
IEEE Transactions on Computers
A Flexible Dynamic Partitioning Algorithm for Optimistic Distributed Simulation
Proceedings of the 21st International Workshop on Principles of Advanced and Distributed Simulation
Combined data-driven and event-driven scheduling technique for fast distributed cosimulation
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Fast and Accurate Cosimulation of MPSoC Using Trace-Driven Virtual Synchronization
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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Increasing complexity of multicore embedded systems makes careful construction of virtual prototyping system crucial to shorten design turnaround time due to the growing demand of simulation time. Parallel simulation aims to accelerate the simulation speed by running component simulators concurrently. But extra overhead of communication and synchronization between simulators may overshadow the benefits of parallel simulation. In this paper we propose a technique to configure the simulation environment optimally considering the application characteristics. Particularly, we focus on three design axes, simulation platform selection, mapping of component simulators to participating host processors and period of null message transfer for time synchronization. As a result, the proposed technique enables the efficient exploitation of parallelism by 1) well-balanced distribution of simulation workloads to host processors and 2) the minimized overhead for null message transfer, in turn, leading to the maximal simulation performance. The experimental results show that the proposed technique robustly found the optimal configurations for wide variance of application characteristics and simulation platform.