Abstract
In this paper we face the spatial difficulties inherent to the simulation of P systems on conventional (von Neumann) computers when they are applied to solve real problems. We have extended P Lingua (a well known textual programming language for P systems) to access distributed resources by means of Hadoop (a freely available implementation of the MapReduce paradigm). The current work shows the way that we propose to develop distributed, general purpose simulators for P systems.
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Diez Dolinski, L., Núñez Hervás, R., Cruz Echeandía, M., Ortega, A. (2011). Distributed Simulation of P Systems by Means of Map-Reduce: First Steps with Hadoop and P-Lingua. In: Cabestany, J., Rojas, I., Joya, G. (eds) Advances in Computational Intelligence. IWANN 2011. Lecture Notes in Computer Science, vol 6691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21501-8_57
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DOI: https://doi.org/10.1007/978-3-642-21501-8_57
Publisher Name: Springer, Berlin, Heidelberg
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