Resumen de Programación paralela en una técnica de optimización de tiempos de producción de una empresa.
Laura Vázquez, Alicia Valdez, Gloria Elisa Campos Posada, Raúl Campos Posada, Rubén Hernández
Parallel programming is a mechanism used to solve problems in which the resources of a single machine are not enough. The aim of paralleling the genetic algorithm is to reduce the processing time by distributing tasks among the available processors. For the design of this genetic algorithm, sixty activities production times of a company were considered. As for the parallel processing, critical section where identified (those that consume greater amount of computational resources on which is necessary to work independently), it was divided dynamically between the number of available processors, set the number of iterations to perform on the assigned critical functions (stop condition) and a data set for each processor was assigned independently.
