Showing papers by "V. Kamakoti published in 2002"

A novel three phase parallel genetic approach to routing for field programmable gate arrays

Abstract: This paper establishes a handshake between the fields of "parallel genetic algorithms" and reconfigurable systems, to provide a solution for the routing problem for FPGAs, that attempts to enhance the performance of the circuit implemented by the FPGA. We propose to solve the problem of routing for FPGAs in three phases, out of which the first two utilize the concept of genetic algorithms to transform an initial population of random suggested routings to a population that contains solutions approximating the optimal one.

An artificial neural network guided parallel genetic approach to the routing problem for field programmable gate arrays

Abstract: This paper introduces the concept of "artificially intelligent parallel genetic algorithms", in the form of an artificial neural network, to provide a solution for the routing problem for FPGAs.