title: Boosting theoretical zeolitic framework generation for the determination of new materials structures using GPU programming.
abstract: Evolutionary algorithms have proved to be efficient for solving complicated optimization problems. On the other hand, the many-core architecture in graphical cards "General Purpose Graphic Processing Unit" (GPGPU) offers one of the most attractive cost/performance ratio. Using such hardware, the manuscript shows how an efficiently implemented genetic algorithm with a simple fitness function allows boosting the determination of zeolite structures. A case study is presented.
authors.affiliation: Insituto de Tecnologia Quimica, UPV-CSIC, Valencia Spain. baumesl@itq.upv.es
authors.forename: Laurent A
authors.initials: LA
authors.lastname: Baumes
authors.forename: Frederic
authors.initials: F
authors.lastname: Kruger
authors.forename: Santiago
authors.initials: S
authors.lastname: Jimenez
authors.forename: Pierre
authors.initials: P
authors.lastname: Collet
authors.forename: Avelino
authors.initials: A
authors.lastname: Corma