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2008
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Efficient mapping of advanced signal processing algorithms on multi-processor architectures

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Efficient mapping of advanced signal processing algorithms on multi-processor architectures
Modern microprocessor technology is migrating from simply increasing clock speeds on a single processor to placing multiple processors on a die to increase throughput and power performance in every generation. To utilize the potential of such a system, signal processing algorithms have to be efficiently parallelized so that the load can be distributed evenly among the multiple processing units. In this paper, we study several advanced deterministic and stochastic signal processing algorithms and their computation using multiple processing units. Specifically, we consider two commonly used time-frequency signal representations, the short-time Fourier transform and the Wigner distribution, and we demonstrate their parallelization with low communication overhead. We also consider sequential Monte Carlo estimation techniques such as particle filtering, and we demonstrate that its multiple processor implementation requires large data exchanges and thus a high communication overhead. We ...
Bhavana B. Manjunath, Aaron S. Williams, Chaitali
Added 01 Jun 2010
Updated 01 Jun 2010
Type Conference
Year 2008
Where SIPS
Authors Bhavana B. Manjunath, Aaron S. Williams, Chaitali Chakrabarti, Antonia Papandreou-Suppappola
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