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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Heurísticas para a fase de roteameneto de circuitos integrados baseados em FPGAs

Carvalho, Gustavo Rezende 27 March 2010 (has links)
Made available in DSpace on 2015-05-14T12:36:54Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 2485062 bytes, checksum: ad2a2349ad56d837e75386f8c9ba1027 (MD5) Previous issue date: 2010-03-27 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / The present dissertation deals with the Routing Circuits for Field Programable Gate Arrays (FPGAs). Due to the combinatorial nature of the problem, heuristics methods are commonly used to generate good quality solutions in an acceptable computationally time. In this context, a procedure based on GRASP (Greedy Randomized Adaptive Search Procedure) with a procedure of local search based on ILS (Iterated Local Search) is proposed. The algorithm has been tested in benchmark problems found in the literature, MCNC, exploring timing-driven and channel-width criteria, being able to improve 55% of the benchmarks on timing drive criteria and improve 5,3% of the benchmarks on channel width criteria. / A presente dissertação trata do problema de roteamento de circuitos para Field Programable Gate Arrays (FPGAs). Em função da natureza combinatória do problema, métodos heurísticos são comumente utilizados para gerar soluções de boa qualidade em um tempo computacionalmente aceitável. Neste contexto, um procedimento baseado na metaheurística GRASP (Greedy Randomized Adaptive Search Procedure) com um procedimento de busca local baseado em ILS (Iterated Local Search) é proposto. O algoritmo foi testado em instâncias encontradas na literatura, benchmark MCNC, explorando os critérios de tempo crítico e números de trilhas, onde mostrou-se capaz de melhorar 55% das instancias no critério de tempo crítico e 5,3% quanto ao número de trilhas.

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