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The biomedical imagery, the numeric communications, the acoustic signal processing and many others digital signal processing (DSP) applications are present more and more in the numeric world. They process growing data volume which is represented with more and more accuracy, and use complex algorithms with time constraints to satisfying. Consequently, a high requirement of computing power characterize them. To satisfy this need, it's inevitable today to use parallel and heterogeneousdoi:10.1109/hpcc.2014.144 dblp:conf/hpcc/MansouriHH14 fatcat:pnsbyhpagvb2piyciurdr2c7tm