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CSIM: a C-based process-oriented simulation language

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Herb SchwetmanAuthors Info & Claims

WSC '86: Proceedings of the 18th conference on Winter simulation

Pages 387 - 396

https://doi.org/10.1145/318242.318464

Published: 01 December 1986 Publication History

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Abstract

CSIM is a process-oriented simulation language which is implemented as a superset of the C programming language. Using CSIM, a simulation programmer is able to quickly construct concise models of systems and then to execute these models in an efficient manner. In addition to supporting process-oriented simulation, CSIM as a number of additional features dealing with modeling system resources, message passing, data collection and debugging which ease the task of building simulation models.

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Cited By

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Frez KOyarzún MInostrosa-Psijas AMoreno FWainer G(2023)Rustsim: A Process-Oriented Simulation Framework for the Rust LanguageProceedings of the Winter Simulation Conference10.5555/3643142.3643402(3118-3129)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3643142.3643402
Frez KOyarzún MInostrosa-Psijas AMoreno FWainer G(2023)RustSim: A Process-Oriented Simulation Framework for the Rust Language2023 Winter Simulation Conference (WSC)10.1109/WSC60868.2023.10408161(3118-3129)Online publication date: 10-Dec-2023
https://doi.org/10.1109/WSC60868.2023.10408161
Liu J(2020)SimulusProceedings of the Winter Simulation Conference10.5555/3466184.3466450(2329-2340)Online publication date: 14-Dec-2020
https://dl.acm.org/doi/10.5555/3466184.3466450
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Index Terms

CSIM: a C-based process-oriented simulation language
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation support systems
      1. Simulation languages
2. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language types

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Published In

WSC '86: Proceedings of the 18th conference on Winter simulation

December 1986

890 pages

ISBN:0911801111

DOI:10.1145/318242

Editors:
James R. Wilson
Purdue Univ., West Lafayette, IN
,
James O. Henriksen
Wolverine Software Corp.
,
Stephen D. Roberts
Regenstrief Institute

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 01 December 1986

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Frez KOyarzún MInostrosa-Psijas AMoreno FWainer G(2023)Rustsim: A Process-Oriented Simulation Framework for the Rust LanguageProceedings of the Winter Simulation Conference10.5555/3643142.3643402(3118-3129)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3643142.3643402
Frez KOyarzún MInostrosa-Psijas AMoreno FWainer G(2023)RustSim: A Process-Oriented Simulation Framework for the Rust Language2023 Winter Simulation Conference (WSC)10.1109/WSC60868.2023.10408161(3118-3129)Online publication date: 10-Dec-2023
https://doi.org/10.1109/WSC60868.2023.10408161
Liu J(2020)SimulusProceedings of the Winter Simulation Conference10.5555/3466184.3466450(2329-2340)Online publication date: 14-Dec-2020
https://dl.acm.org/doi/10.5555/3466184.3466450
Zhou BZhao SChen LLi SWu ZPan G(2020)Forecasting Price Trend of Bulk Commodities Leveraging Cross-domain Open Data FusionACM Transactions on Intelligent Systems and Technology10.1145/335428711:1(1-26)Online publication date: 21-Jan-2020
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Xie YZhou XShekhar S(2020)Discovering Interesting Subpaths with Statistical Significance from Spatiotemporal DatasetsACM Transactions on Intelligent Systems and Technology10.1145/335418911:1(1-24)Online publication date: 9-Jan-2020
https://dl.acm.org/doi/10.1145/3354189
Liu J(2020)Simulus: Easy Breezy Simulation in Python2020 Winter Simulation Conference (WSC)10.1109/WSC48552.2020.9383886(2329-2340)Online publication date: 14-Dec-2020
https://doi.org/10.1109/WSC48552.2020.9383886
Chen CChang KLi QZheng X(2018)Semi-supervised Learning Meets FactorizationACM Transactions on Knowledge Discovery from Data10.1145/326474512:6(1-24)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1145/3264745
Roberts SPegden D(2017)The history of simulation modelingProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242200(1-16)Online publication date: 3-Dec-2017
https://dl.acm.org/doi/10.5555/3242181.3242200
Roberts SPegden D(2017)The history of simulation modeling2017 Winter Simulation Conference (WSC)10.1109/WSC.2017.8247795(308-323)Online publication date: Dec-2017
https://doi.org/10.1109/WSC.2017.8247795
Tichy W(2016)Unums 2.0: An Interview with John L. GustafsonUbiquity10.1145/30017582016:September(1-16)Online publication date: 4-Oct-2016
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Introduction to process-oriented simulation and CSIM (tutorial session)

Using CSIM to model complex systems

Development of a new, fast, user friendly, ray tracing program "CSIM" for the simulation of parallelhole collimators

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Recommendations

Introduction to process-oriented simulation and CSIM (tutorial session)

Using CSIM to model complex systems

Development of a new, fast, user friendly, ray tracing program "CSIM" for the simulation of parallelhole collimators

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