Performance analysis and acceleration of cross-correlation computation using FPGA implementation for digital signal processing

Rafał Selma


Paper describes comparison of cross-correlation computation speed of most commonly used computation platforms (CPU, GPU) with an FPGA-based design. It also describes the structure of cross-correlation unit implemented for testing purposes. Speedup of computations was achieved using FPGA-based design, varying between 16 and 5400 times compared to CPU computations and between 3 and 175 times compared to GPU computations.
Author Rafał Selma (FEIT / PE)
Rafał Selma,,
- The Institute of Electronic Systems
Publication size in sheets0.5
Book Romaniuk Ryszard (eds.): Proc. SPIE. 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, vol. 10031, 2016, P.O. Box 10, Bellingham, Washington 98227-0010 USA , SPIE , ISBN 9781510604858, [781510604865 (electronic) ], 1170 p., DOI:10.1117/12.2257157
Keywords in English Cross-correlation, FPGA, parallel computing, CPU, GPU
Languageen angielski
1003159_selma.pdf 454.44 KB
Score (nominal)15
ScoreMinisterial score = 15.0, 25-09-2019, BookChapterMatConfByConferenceseries
Ministerial score (2013-2016) = 15.0, 25-09-2019, BookChapterMatConfByConferenceseries
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