NDLI: Strategies for concurrent processing of complex algorithms in data driven architectures

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Strategies for concurrent processing of complex algorithms in data driven architectures

Content Provider	NASA Technical Reports Server (NTRS)
Author	Som, Sukhamony Mielke, Roland R. Stoughton, John W.
Copyright Year	1990
Description	The performance modeling and enhancement for periodic execution of large-grain, decision-free algorithms in data flow architectures is examined. Applications include real-time implementation of control and signal processing algorithms where performance is required to be highly predictable. The mapping of algorithms onto the specified class of data flow architectures is realized by a marked graph model called ATAMM (Algorithm To Architecture Mapping Model). Performance measures and bounds are established. Algorithm transformation techniques are identified for performance enhancement and reduction of resource (computing element) requirements. A systematic design procedure is described for generating operating conditions for predictable performance both with and without resource constraints. An ATAMM simulator is used to test and validate the performance prediction by the design procedure. Experiments on a three resource testbed provide verification of the ATAMM model and the design procedure.
File Size	5313458
Page Count	180
File Format	PDF
Alternate Webpage(s)	http://archive.org/details/NASA_NTRS_Archive_19900012219
Archival Resource Key	ark:/13960/t4wh7gf88
Language	English
Publisher Date	1990-04-01
Access Restriction	Open
Subject Keyword	Computer Programming And Software Concurrent Processing Algorithms Information Flow Control Systems Design Computer Systems Performance Computer Systems Design Performance Prediction Signal Processing Strategy Simulators Real Time Operation Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science
Content Type	Text
Resource Type	Technical Report

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