A Multi-Core FPGA-based 2D-Clustering Algorithm for High-Throughput Data Intensive Applications

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A multi-core FPGA-based clustering algorithm for high-throughput data intensive applications is presented. The algorithm is optimized for data with two dimensional organization (e.g. image processing, pixel detectors for high energy physics experiments etc.). It uses a moving window of generic size...

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Detalles Bibliográficos
Autores principales: Sotiropoulou, C-L, Annovi, A, Beretta, M, Giannetti, P, Luciano, P, Nikolaidis, S, Volpi, G
Lenguaje:eng
Publicado: 2013
Materias:
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/1612184

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