Conference proceeding
Managing memory requirements in the synthesis of real-time systems from processing graphs
Proceedings. Fourth IEEE Real-Time Technology and Applications Symposium (Cat. No.98TB100245), pp.59-70
1998
DOI: 10.1109/RTTAS.1998.683188
Abstract
In the past, environmental restrictions on size, weight, and power consumption have severely limited both the processing and storage capacity of embedded signal processing systems. Today, however, as increases in processor speed and capabilities continually out pace increases in memory densities and performance, processor capacity is no longer a major concern for many signal processing applications-memory usage is now the primary concern. We present techniques for managing the memory requirements of signal processing applications in the synthesis of a real time uniprocessor system from processing graphs. To demonstrate the effectiveness of our memory management techniques, we compare the memory requirements of a statically scheduled implementation of an INMARSAT (International Maritime Satellite) mobile receiver, with our dynamic scheduling techniques. The case study demonstrates that state of the art, static schedulers use over 300% more memory than our simple, preemptive, EDF scheduler for a large class of signal processing applications.
Details
- Title: Subtitle
- Managing memory requirements in the synthesis of real-time systems from processing graphs
- Creators
- S Goddard - University of North Carolina at Chapel HillK Jeffay - University of North Carolina at Chapel Hill
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings. Fourth IEEE Real-Time Technology and Applications Symposium (Cat. No.98TB100245), pp.59-70
- Publisher
- IEEE
- DOI
- 10.1109/RTTAS.1998.683188
- ISSN
- 1080-1812
- eISSN
- 2375-5342
- Language
- English
- Date published
- 1998
- Academic Unit
- Computer Science
- Record Identifier
- 9984259426902771
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