Simulating P Systems on GPU Device : A Survey

• Autorzy: Martínez-del-Amor, M. A. , García-Quismondo, M. , Macías-Ramos, L. F. , Valencia-Cabrera, L. , Riscos-Núñez, A. , Pérez-Jiménez, M. J.
• Języki publikacji: EN

Abstrakty

EN

P systems have been proven to be useful as modeling tools in many fields, such as Systems Biology and Ecological Modeling. For such applications, the acceleration of P system simulation is often desired, given the computational needs derived from these kinds of models. One promising solution is to implement the inherent parallelism of P systems on platforms with parallel architectures. In this respect, GPU computing proved to be an alternative to more classic approaches in Parallel Computing. It provides a low cost, and a manycore platform with a high level of parallelism. The GPU has been already employed to speedup the simulation of P systems. In this paper, we look over the available parallel P systems simulators on the GPU, with special emphasis on those included in the PMCGPU project, and analyze some useful guidelines for future implementations and developments.

Słowa kluczowe

EN

membrane computing; P systems; parallel computing; GPU computing; CUDA

• Czasopismo: Fundamenta Informaticae
• Rocznik: 2015
• Tom: Vol. 136, nr 3
• Strony: 269--284
• Opis fizyczny: Bibliogr. 31 poz., rys.

Twórcy

autor

Martínez-del-Amor, M. A.

• Research Group on Natural Computing Universidad de Sevilla, Seville, Spain,

autor

García-Quismondo, M.

• University of Minnesota Minneapolis-St. Paul, United States,

autor

Macías-Ramos, L. F.

• Research Group on Natural Computing Universidad de Sevilla, Seville, Spain,

autor

Valencia-Cabrera, L.

• Research Group on Natural Computing Universidad de Sevilla, Seville, Spain,

autor

Riscos-Núñez, A.

• Research Group on Natural Computing Universidad de Sevilla, Seville, Spain,

autor

Pérez-Jiménez, M. J.

• Research Group on Natural Computing Universidad de Sevilla, Seville, Spain,

Bibliografia

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Identyfikatory

DOI

10.3233/FI-2015-1157