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Signal-to-Memory Mapping Analysis for Multimedia Signal Processing
Yokohama January 23-January 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ASPDAC.2007.3580332007 Asia and South Pacific Design Au ...
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Ilie I. Luican, Dept. of Computer Science, University of Illinois, Chicago, Chicago, IL 60607, U.S.A.
Hongwei Zhu, Dept. of Computer Science, University of Illinois, Chicago, Chicago, IL 60607, U.S.A.
Florin Balasa, Dept. of Computer Science, University of Illinois, Chicago, Chicago, IL 60607, U.S.A.
The storage requirements in data-dominant signal processing systems, whose behavior is described by array-based, loop-organized algorithmic specifications, have an important impact on the overall energy consumption, data access latency, and chip area. Finding the optimal storage of the usually large arrays from these behavioral specifications is an important step during memory allocation. This paper proposes more efficient algorithms for the intra-array storage mapping models of De Greef [5] and Tron?on [11], resulting in an implementation several time faster than the original ones.
Citation:
Ilie I. Luican, Hongwei Zhu, Florin Balasa, "Signal-to-Memory Mapping Analysis for Multimedia Signal Processing," asp-dac, pp.486-491, 2007 Asia and South Pacific Design Automation Conference, 2007
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