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EnglishSignal 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.
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http://hdl.handle.net/11567/195203| Titolo: | A Scalable Parallel Algorithm for Matching Pursuit Signal Decomposition |
| Autori interni: | DODERO, GABRIELLA GIANUZZI, VITTORIA |
| Data di pubblicazione: | 1998 |
| Rivista: | LECTURE NOTES IN COMPUTER SCIENCE |
| 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. |
| Handle: | http://hdl.handle.net/11567/195203 |
| Appare nelle tipologie: | 01.01 - Articolo su rivista |
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