Dynamic multiobjective optimization management of the energy-performance- accuracy space for separable 2-D complex filters

Daniel Llamocca, Cesar Carranza, Marios Pattichis

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

5 Citas (Scopus)

Resumen

We present a dynamic framework for 2D complex filter implementation that is based on a multi-objective optimization scheme that generates Pareto-optimal realizations from the Energy-Performance-Accuracy (EPA) space. The EPA space is created by evaluating the 2D complex filter realizations in terms of their required energy, accuracy, and performance. Dynamic EPA management, carried out via Dynamic Partial Reconfiguration (DPR) and Dynamic Frequency Control, then consists on selecting Pareto-optimal realizations that meet time-varying EPA requirements. We demonstrate dynamic EPA management by applying a complex filter to a standard video sequence.

Idioma originalInglés
Título de la publicación alojadaProceedings - 22nd International Conference on Field Programmable Logic and Applications, FPL 2012
Páginas579-582
Número de páginas4
DOI
EstadoPublicada - 2012
Publicado de forma externa
Evento22nd International Conference on Field Programmable Logic and Applications, FPL 2012 - Oslo, Noruega
Duración: 29 ago. 201231 ago. 2012

Serie de la publicación

NombreProceedings - 22nd International Conference on Field Programmable Logic and Applications, FPL 2012

Conferencia

Conferencia22nd International Conference on Field Programmable Logic and Applications, FPL 2012
País/TerritorioNoruega
CiudadOslo
Período29/08/1231/08/12

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