ACM Computing Surveys (CSUR)
Toward the domestication of microelectronics
Communications of the ACM - Special issue: computing in the frontiers of science and engineering
An empirical comparison of priority-queue and event-set implementations
Communications of the ACM
A distributed approach to queueing network simulation
WSC '79 Proceedings of the 11th conference on Winter simulation - Volume 2
Model specification and analysis for discrete event simulation
Model specification and analysis for discrete event simulation
Efficient distributed event-driven simulations of multiple-loop networks
Communications of the ACM
Concurrent operations on priority queues
Communications of the ACM
Parallel discrete event simulation
Communications of the ACM - Special issue on simulation
Approximate time-parallel simulation of queueing systems with losses
WSC '92 Proceedings of the 24th conference on Winter simulation
The parallel-event approach to discrete-event simulation
ACM SIGSIM Simulation Digest
How to integrate shared variables in distributed simulation
ACM SIGSIM Simulation Digest
WSC '93 Proceedings of the 25th conference on Winter simulation
The object library for parallel simulation (OLPS)
WSC '88 Proceedings of the 20th conference on Winter simulation
Two implementations of a concurrent simulation environment
WSC '87 Proceedings of the 19th conference on Winter simulation
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The advent of a new generation of multiprocessors allows new approaches to parallel simulation. Previous work in this area has concentrated on distributed simulation; this approach uses spatial decomposition to allow simulations to be run on networks of machines, where the message flow between processors in the network is related closely to the topology of the system being simulated. This paper presents an alternate approach, concurrent simulation, which is based on temporal decomposition. This allows natural use to be made of the shared memory facilities and load-balancing capabilities of the new multiprocessors, and it overcomes some fundamental limitations of the distributed approach.