Observatorio de I+D+i UPM

Descripción
Modern automatic analytical methods for studying range and accuracy in ?xed-point systems are gradually replacing the traditional bit-true ?xed-point simulations used inWord-Length Optimization (WLO) problems. But these models have several limitations that must be overcome if they are going to be used in real world applications. When targeting large systems, the mathematical expressions quickly become too large to be handled in reasonable times by numerical engines. This paper proposes adapting the classical Fiduccia-Mattheyses partitioning algorithm to the WLO domain to automatically generate hierarchical partitions of the systems to quantize. This is the ?rst time this type of algorithms are used for this purpose. The algorithm has been successfully applied to large problems that could not be addressed before. It generates, in the order of minutes, maneuverable sub-problems where state-of-the-art models can be applied. Thus, scalability is achieved and the impact of the problem size as a constraint is minimized.
Internacional	Si
Nombre congreso	10th International Symposyum on Applied Reconfigurable Computing, ARC'14
Tipo de participación	960
Lugar del congreso	Vilamoura (Portugal)
Revisores	Si
ISBN o ISSN	978-3-319-05959-4
DOI	10.1007/978-3-319-05960-0_12
Fecha inicio congreso	14/04/2014
Fecha fin congreso	16/04/2014
Desde la página	133
Hasta la página	143
Título de las actas	Reconfigurable Computing: Architectures, Tools, and Applications. Proceedings of the 10th International Symposyum on Applied Reconfigurable Computing, ARC'14. Lecture Notes in Computer Science Volume 8405, 2014

Esta actividad pertenece a memorias de investigación

• Autor: Enrique Sedano Algarabel (UPM)
• Autor: Daniel Menard (Université de Rennes 1)
• Autor: Juan Antonio Lopez Martin (UPM)

• Creador: Grupo de Investigación: Laboratorio de Sistemas Integrados (LSI)
• Departamento: Ingeniería Electrónica