Distributed Real-Time Dataflow: An Execution Paradigm for Image Processing and
Anti-Submarine Warfare Applications
S. Goddard and
- Proceedings of the 17th IEEE Real-Time Systems Symposium,
Work in Progress Abstracts
- Washington, DC, December 1996
- pages 55-58.
The central thesis of this project is that
real-time scheduling theory can be combined with dataflow
methodologies to bound latency and memory utilization of
distributed signal processing applications, such as those
found in anti-submarine warfare and image processing.
To this end, we propose a new real-time dataflow paradigm that is
based on the Navy's Processing Graph Method (PGM) , which is
similar to the dataflow methodology employed by Ptolemy [1,4]
of the University of California at Berkeley and the Rapid Prototyping
of Application Specific Signal Processors (RASSP) project, funded by
the Advanced Research Projects Agency (ARPA). While our dataflow
methodology itself is not novel, our application of real-time
scheduling theory to the model is.
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