An advanced rotorcraft flight simulation model: Parallel implementation and performance analysis

S. Sarathy; V. R. Murthy

doi:10.2514/6.1993-3550

An advanced rotorcraft flight simulation model: Parallel implementation and performance analysis

S. Sarathy, V. R. Murthy

Department of Mechanical & Aerospace Engineering

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

Parallel processing techniques provide a powerful set of tools, which can permit the use of computationally complex models for real-time flight sinlulation. Elastic blade element models provide adequate fidelity and accuracy needed to simulate advanced rotorcraft configurations. Parallel implementations of blade element code will be needed to model such rotorcraft for real-time simulation applications. Techniques to develop flight simulation models for parallel (MIMD) architectures are presented in this paper. An advanced rotorcraft flight simulation model, using the blade element approach, has been developed for an MIMD parallel computer, based on a portable set of parallel primitives. Issues pertaining to this parallel development and implementation are also discussed. Parallel speedup results for this model are provided based on execution times on an Encore Multimax 14-processor machine.

Original language	English (US)
Pages	29-35
Number of pages	7
DOIs	https://doi.org/10.2514/6.1993-3550
State	Published - 1993
Event	Flight Simulation and Technologies, 1993 - Monterey, United States Duration: Aug 9 1993 → Aug 11 1993

Other

Other	Flight Simulation and Technologies, 1993
Country/Territory	United States
City	Monterey
Period	8/9/93 → 8/11/93

ASJC Scopus subject areas

General Engineering

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10.2514/6.1993-3550

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title = "An advanced rotorcraft flight simulation model: Parallel implementation and performance analysis",

abstract = "Parallel processing techniques provide a powerful set of tools, which can permit the use of computationally complex models for real-time flight sinlulation. Elastic blade element models provide adequate fidelity and accuracy needed to simulate advanced rotorcraft configurations. Parallel implementations of blade element code will be needed to model such rotorcraft for real-time simulation applications. Techniques to develop flight simulation models for parallel (MIMD) architectures are presented in this paper. An advanced rotorcraft flight simulation model, using the blade element approach, has been developed for an MIMD parallel computer, based on a portable set of parallel primitives. Issues pertaining to this parallel development and implementation are also discussed. Parallel speedup results for this model are provided based on execution times on an Encore Multimax 14-processor machine.",

author = "S. Sarathy and Murthy, {V. R.}",

note = "Publisher Copyright: {\textcopyright} 1993 American Institute of Aeronautics and Astronautics, Inc. All rights reserved.; Flight Simulation and Technologies, 1993 ; Conference date: 09-08-1993 Through 11-08-1993",

year = "1993",

doi = "10.2514/6.1993-3550",

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T2 - Flight Simulation and Technologies, 1993

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AB - Parallel processing techniques provide a powerful set of tools, which can permit the use of computationally complex models for real-time flight sinlulation. Elastic blade element models provide adequate fidelity and accuracy needed to simulate advanced rotorcraft configurations. Parallel implementations of blade element code will be needed to model such rotorcraft for real-time simulation applications. Techniques to develop flight simulation models for parallel (MIMD) architectures are presented in this paper. An advanced rotorcraft flight simulation model, using the blade element approach, has been developed for an MIMD parallel computer, based on a portable set of parallel primitives. Issues pertaining to this parallel development and implementation are also discussed. Parallel speedup results for this model are provided based on execution times on an Encore Multimax 14-processor machine.

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ER -

An advanced rotorcraft flight simulation model: Parallel implementation and performance analysis

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