Efficient GPU-accelerated parallel cross-correlation
Cross-correlation is a data analysis method widely employed in various signal processing and similarity-search applications. Our objective is to design a highly optimized GPU-accelerated implementation that will speed up the applications and also improve energy efficiency since GPUs are more efficie...
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Published in | Journal of parallel and distributed computing Vol. 199; p. 105054 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.05.2025
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Subjects | |
Online Access | Get full text |
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