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Abstract: Application studies indicate that between 50 and 80% of the power cost in image and video processing systems is due to data storage and transfers. This is especially true for multi-processor realizations, because conventional parallelization strategies ignore this cost and focus only on the performance, whereas also the power consumption depends heavily on the way a system is parallelized. We will demonstrate the impact of processor partitioning on the memory requirements by exploring a QSDPCM... (Update)
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BibTeX entry: (Update)
K.Danckaert, K.Masselos, F.Catthoor, H.De Man, "Strategy for power efficient combined task and data parallelism exploration illustrated on a QSDPCM video codec", J. of Systems Architecture, Vol.45, No.10, pp.791-808, Elsevier, April 1999. http://citeseer.ist.psu.edu/danckaert99strategy.html More
@article{ dan99,
author = {Koen Danckaert and Kostas Masselos and Francky
Catthoor and De Man, Hugo},
title = {Strategy for power efficient combined task and data
parallelism exploration illustrated on a {QSDPCM}
video codec},
journal = {J.\ of Systems Architecture, Elsevier, Amsterdam},
year = 1999,
volume = 45,
number = 10,
pages = {791--808},
url = {citeseer.ist.psu.edu/danckaert99strategy.html} }
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