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Simstar — An Attached Multiprocessor for Dynamic System Engineering

  • Conference paper

Part of the book series: Informatik-Fachberichte ((INFORMATIK,volume 71))

Abstract

This paper describes a new multiprocessor that has been developed by Electronic Associates, Inc. for scientific analysis of dynamic systems. Proven parallel and sequential computing methods are integrated in Simstar (TM) to provide a unique capability for mixed continuous/discrete system simulation and signal processing. In contrast to the earlier manually programmed analog and hybrid computers, Simstar is a completely automatic device driven from high level software in a Host data processing computer.

The requirements for dynamic system simulation in different fields is developed in the paper to establish a criteria for measurement of Simstar performance relative to alternate computers. New concepts in system architecture, component technology, and system communication features are described. An overview of the Simstar programming system is covered to see the flow from the simulation language input to the program segments for the various processors. Also, a brief discussion of program operation from the Host terminals through a run-time executive is described.

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References

  1. Landauer, J.P., Howe, R.M., “A Quantitative Method of Speed Comparison Between Analog/Hybrid and Digital Computers”, IEEE Computer, July, 1976, pp. 31–36

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  2. Simulation Vol. 9, No. 6, December 1967, pp. 281–303

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  3. Mitchell and Gauthier. ACSL - Advanced Continuous Simulation Language. Second Edition, Mitchell and Guthier, Associates, 1975, 150 pages.

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© 1983 Springer-Verlag Berlin Heidelberg

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Landauer, J.P. (1983). Simstar — An Attached Multiprocessor for Dynamic System Engineering. In: Ameling, W. (eds) First European Simulation Congress ESC 83. Informatik-Fachberichte, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-69295-6_20

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  • DOI: https://doi.org/10.1007/978-3-642-69295-6_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-12723-9

  • Online ISBN: 978-3-642-69295-6

  • eBook Packages: Springer Book Archive

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