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TABLE OF CONTENTS

• I. Description
• II. Available simulators
• III. Related simulators

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I. Description

Membrane Computing is a research area (within Natural Computing) that aims to provide computing devices abstracted from the functioning and structure of living cells. These devices are called P systems.

PMCGPU (Parallel simulators for Membrane Computing on the GPU) is a project aimed to bring together all the researchers working on the development of parallel simulators for P systems, specially those using GPGPU (e.g. CUDA, OpenCL, etc). Other parallel platforms are also welcome (multicore and manycore, FPGAs, etc). These bio-inspired computing devices are massively parallel and non-deterministic. For this reason, the creation of efficient simulators is a challenge for the scientific community of Membrane Computing.

This project has been initiated by the Research Group on Natural Computing (Department of Computer Science and Artificial Intelligence, University of Seville). PMCGPU was born inside the P-Lingua project, of the same research group.

PMCGPU is a GNU project, so all the applications developed within it are released under the GPLv3 license.

If you want to participate in this project, just send a message to the administrator (mdelamor). You will need a sourceforge user.

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II. Available simulators

The following simulators are available under the PMCGPU project:

• Parallel simulation of P systems with active membranes (PCUDA)
• Parallel simulation of a family of P systems with active membranes solving SAT in linear time (PCUDASAT)
• Parallel simulation of a family of tissue-like P systems with cell division solving SAT in linear time (TSPCUDASAT)
• Parallel simulation of Population Dynamics P systems (ABCD-GPU)
• [Parallel simulation of Enzimatic Numerical P systems (ENPSGPU)]
  (http://sourceforge.net/p/pmcgpu/wiki/ENPS/)

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III. Related simulators

The following simulators are related with the PMCGPU project:

• Parallel simulation of Spiking Neural P systems (SNP-GPGPU)