Simulating P systems on GPU devices: A survey

Miguel A. Martínez-Del-Amor, Manuel García-Quismondo, Luis F. Macías-Ramos, Luis Valencia-Cabrera, Agustin Riscos-Núñez, Mario J. Pérez-Jiménez

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)269-284
Number of pages16
JournalFundamenta Informaticae
Volume136
Issue number3
DOIs
StatePublished - 2015

Keywords

  • CUDA
  • GPU computing
  • Membrane Computing
  • P systems
  • Parallel Computing

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