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| Content Provider | Springer Nature Link |
|---|---|
| Author | Boutellier, Jani Raulet, Mickaël Silvén, Olli |
| Copyright Year | 2012 |
| Abstract | RVC-CAL is an actor-based dataflow language that enables concurrent, modular and portable description of signal processing algorithms. RVC-CAL programs can be compiled to implementation languages such as C/C++ and VHDL for producing software or hardware implementations. This paper presents a methodology for automatic discovery of piecewise-deterministic (quasi-static) execution schedules for RVC-CAL program software implementations. Quasi-static scheduling moves computational burden from the implementable run-time system to design-time compilation and thus enables making signal processing systems more efficient. The presented methodology divides the RVC-CAL program into segments and hierarchically detects quasi-static behavior from each segment: first at the level of actors and later at the level of the whole segment. Finally, a code generator creates a quasi-statically scheduled version of the program. The impact of segment based quasi-static scheduling is demonstrated by applying the methodology to several RVC-CAL programs that execute up to 58 % faster after applying the presented methodology. |
| Starting Page | 35 |
| Ending Page | 40 |
| Page Count | 6 |
| File Format | |
| ISSN | 19398018 |
| Journal | Journal of Signal Processing Systems |
| Volume Number | 71 |
| Issue Number | 1 |
| e-ISSN | 19398115 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2012-05-27 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Scheduling Signal processing Dataflow analysis Signal, Image and Speech Processing Circuits and Systems Electrical Engineering Image Processing and Computer Vision Pattern Recognition Computer Imaging, Vision, Pattern Recognition and Graphics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Signal Processing Control and Systems Engineering Information Systems Modeling and Simulation Hardware and Architecture |
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