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Hardware Software Partitioning with Integrated Hardware Design Space Exploration
Paris, France February 23-February 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DATE.1998.655833Design Automation and Test in Europe ...
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Vinoo Srinivasan, University of Cincinnati
Shankar Radhakrishnan, University of Cincinnati
Ranga Vemuri, University of Cincinnati
This paper presents an integrated approach to hardware software partitioning and hardware design space exploration. We propose a genetic algorithm which performs hardware software partitioning on a task graph while simultaneously contemplating various design alternatives for tasks mapped to hardware. We primarily deal with data dominated designs typically found in digital signal processing and image processing applications. A detailed description of various genetic operators is presented. We provide results to illustrate the effectiveness of our integrated methodology.
Index Terms:
Hadware/Software Partitioning, Genetic Algorithms, Design Space Exploration, Codesign
Citation:
Vinoo Srinivasan, Shankar Radhakrishnan, Ranga Vemuri, "Hardware Software Partitioning with Integrated Hardware Design Space Exploration," date, pp.28, Design Automation and Test in Europe (DATE '98), 1998
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