Signal processing with the Matching Pursuit algorithm requires a parallel, scalable and well balanced implementation in order to be effective. Starting from a careful analysis of execution times, a scalable parallelization, based on explicit message passing, is presented. It is based on a regular scattered decomposition of the dictionary, which allows workload balancing. An experimental implementation is discussed and related timings are presented.
A Scalable Parallel Algorithm for Matching Pursuit Signal Decomposition
DODERO, GABRIELLA;GIANUZZI, VITTORIA;
1998-01-01
Abstract
Signal processing with the Matching Pursuit algorithm requires a parallel, scalable and well balanced implementation in order to be effective. Starting from a careful analysis of execution times, a scalable parallelization, based on explicit message passing, is presented. It is based on a regular scattered decomposition of the dictionary, which allows workload balancing. An experimental implementation is discussed and related timings are presented.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.