Multiprocessor Organization—a Survey
ACM Computing Surveys (CSUR)
Asynchronous distributed simulation via a sequence of parallel computations
Communications of the ACM - Special issue on simulation modeling and statistical computing
The design of a multi-microprocessor based simulation computer - I
ANSS '82 Proceedings of the 15th annual symposium on Simulation
Active logical processes and distributed simulation: An analysis
WSC '83 Proceedings of the 15th conference on Winter simulation - Volume 1
An experiment in microprocessor-based distributed digital simulation
WSC '83 Proceedings of the 15th conference on Winter simulation - Volume 1
An experience with parallelism in Ada
SIGPLAN '80 Proceedings of the ACM-SIGPLAN symposium on Ada programming language
Two approaches to the implementation of a distributed simulation system
WSC '85 Proceedings of the 17th conference on Winter simulation
Asynchronous control of discrete event simulation
ANSS '85 Proceedings of the 18th annual symposium on Simulation
Optimization of simulation responses in a multicomputing environment
WSC '87 Proceedings of the 19th conference on Winter simulation
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In recent years, there has been a noticable increase of interest into the feasibility and utility of distributed discrete simulation. This has been prompted by an improvement in distributed algorithms and distributed computer systems, as well as the need to economically manage the increasingly complex simulation models found in today's world. Researchers have centered their efforts around two distinctly different approaches to the design and implementation of distributed discrete simulation systems, with the differences based on what types of tasks are distributed to the individual processors. The more common approach researchers have taken is to develop a system in which the model functions (events) are distributed among the processors (1, 3, 7, 8). The alternative approach distributes simulation support functions (e.g. random number generation) to the available processors (4,9).