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
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
A language-directed distributed discrete simulation system (Extended Abstract)
WSC '84 Proceedings of the 16th conference on Winter simulation
Implications of the Ada R environment for simulation studies
WSC '84 Proceedings of the 16th conference on Winter simulation
WSC '84 Proceedings of the 16th conference on Winter simulation
The design of a multi-microprocessor based simulation computer - III
ANSS '84 Proceedings of the 17th annual symposium on Simulation
ACM SIGPLAN Notices
A literature survey on distributed discrete event simulation
ACM SIGSIM Simulation Digest
Steady-state simulation of queueing processes: survey of problems and solutions
ACM Computing Surveys (CSUR)
Parallel discrete event simulation
Communications of the ACM - Special issue on simulation
An approach towards distributed simulation of timed petri nets
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Systems with Low Distributed Simulation Overhead
IEEE Transactions on Parallel and Distributed Systems
| Hi-index | 0.00 |
This paper describes two approaches to the implementation of distributed simulation currently being pursued at Texas A&M University. The first approach describes the design and the implementation of a distributed simulation system onto a Motorola 68000 based architecture. This approach involves transparently distributing the language support functions of an existing simulation language (GASP) onto multiple processors. The second approach discusses the implementation of simulation support software in a high level distributed processing language. This approach involves the distribution of portions of the simulation model which can be executed in parallel onto multiple processors by the model builder. The paper discusses the details of both the approaches and the current status of their implementation.