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A massively parallel framework using P systems and GPUs

Opened Access A massively parallel framework using P systems and GPUs
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Autor: Cecilia, José M.
Guerrero, Ginés D.
García, José M.
Martínez del Amor, Miguel Ángel
Pérez Hurtado de Mendoza, Ignacio
Pérez Jiménez, Mario de Jesús
Departamento: Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial
Fecha: 2009
Publicado en: SAAHPC 2009: Symposium on Application Accelerators in High-Performance Computing (2009),
Tipo de documento: Ponencia
Resumen: Since CUDA programing model appeared on the general purpose computations, the developers can extract all the power contained in GPUs (Graphics Processing Unit) across many computational domains. Among these domains, P systems or membrane systems provide a high level computational modeling framework that allows, in theory, to obtain polynomial time solutions to NP-complete problems by trading time for space, and also to model biological phenomena in the area of computational systems biology. P systems are massively parallel distributed devices and their computation can be divided in two levels of parallelism: membranes, that can be expressed as blocks in CUDA programming model; and objects, that can be expressed as threads in CUDA programming model. In this paper, we present our initial ideas of developing a simulator for the class of recognizer P systems with active membranes by using the CUDA programing model to exploit the massively parallel nature of those systems a...
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Cita: Cecilia, J.M., Guerrero, G.D., García, J.M., Martínez del Amor, M.Á., Pérez Hurtado, I. y Pérez Jiménez, M.d.J. (2009). A massively parallel framework using P systems and GPUs. En SAAHPC 2009: Symposium on Application Accelerators in High-Performance Computing Urbana, Illinois: National Center for Supercomputing Applications at the University of Illinois.
Tamaño: 48.08Kb
Formato: PDF

URI: http://hdl.handle.net/11441/68619

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