Single Instruction Multiple Data and Cellular Non-linear Networks as Fine-Grained Parallel Solutions for Early Vision on FPGAs

TítuloSingle Instruction Multiple Data and Cellular Non-linear Networks as Fine-Grained Parallel Solutions for Early Vision on FPGAs
AutoresA. Nieto, N.A. Fernández-García, J. Albó-Canals, V.M. Brea, D.L. Vilariño, J. Riera-Baburés, Diego Cabello-Ferrer
TipoComunicación para congreso
Fonte XXIII Conference on Design of Circuits and Integrated Systems, Grenoble (France), 2008.
ISBN978-2-84813-124-5
AbstractThis paper examines the feasibility of fine-grained parallelism on FPGAs for early vision. The paper compares the performance and functionality of Cellular Non-linear Networks and Single Instruction Multiple Data architectures on FPGAs. Area and speed data along with different examples of low-level image processing tasks are discussed throughout the paper.
Palabras chaveFPGA, SIMD architectures, early vision

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