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2. A Compressive Sensing Algorithm for Many-Core Architectures.

Author

Borghi, A., Darbon, J., Peyronnet, S., Chan, T. F., and Osher, S.

Abstract

This paper describes a parallel algorithm for solving the l1-compressive sensing problem. Its design takes advantage of shared memory, vectorized, parallel and many-core microprocessors such as Graphics Processing Units (GPUs) and standard vectorized multi-core processors (e.g. quad-core CPUs). Experiments are conducted on these architectures, showing evidence of the efficiency of our approach. [ABSTRACT FROM AUTHOR]

Published
2010
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