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30 July 1982 Experimental Distributed Microprocessor Implementation With A Shared Memory Communications And Control Medium
Richard S. Mejzak
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Proceedings Volume 0298, Real-Time Signal Processing IV; (1982) https://doi.org/10.1117/12.932534
Event: 25th Annual Technical Symposium, 1981, San Diego, United States
Abstract
An experimental distributed microcomputer concept has been developed, implemented, and is currently operational at the Naval Air Development Center as a vehicle to investigate distributed processing concepts with respect to replacing larger computers with networks of microprocessors at the subsystem or node level. Major benefits being exploited include increased performance, flexibility, system availability, and survivability, by use of multiple processing elements with reduced cost, size, weight and power consumption. This paper concentrates on defining the distributed processing concept in terms of control primitives, variables, and structures and their use in performing a decomposed DFT (Discrete Fourier Transform) application function on a laboratory model. The DFT was chosen as an experimental application to investigate distributed processing concepts because of its highly regular and decomposable structure for concurrent execution. The design assumes interprocessor communications to be anonymous. In this scheme, all processors can access an entire common data base by employing control primitives. Access to selected areas within the common data base is random, enforced by a hardware lock, and determined by task and subtask pointers. This enables the number of processors to be varied in the configuration without any modifications to the control structure. Decompositional elements of the DFT application function in terms of tasks and subtasks, are also described.
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Richard S. Mejzak "Experimental Distributed Microprocessor Implementation With A Shared Memory Communications And Control Medium", Proc. SPIE 0298, Real-Time Signal Processing IV, (30 July 1982); https://doi.org/10.1117/12.932534
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KEYWORDS
Signal processing
Reliability
Computing systems
Avionic systems
Distributed computing
Process control
Coastal modeling
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