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Strategies for concurrent processing of complex algorithms in data driven architectures (Document No: 19910011082)
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Mielke, Roland R. Stoughton, John W. Som, Sukhamoy |
| Copyright Year | 1990 |
| Description | Performance modeling and performance enhancement for periodic execution of large-grain, decision-free algorithms in data flow architectures are discussed. 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 algorithm to architecture mapping model (ATAMM). 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 | 5569102 |
| Page Count | 180 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19910011082 |
| Archival Resource Key | ark:/13960/t9770d019 |
| Language | English |
| Publisher Date | 1990-10-01 |
| Access Restriction | Open |
| Subject Keyword | Electronics And Electrical Engineering Concurrent Processing Algorithms Computer Systems Performance Signal Processing Computerized Simulation Data Flow Analysis Architecture Computers Prediction Analysis Techniques 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 |
