C to Cellular Automata and Execution on CPU, GPU and FPGA
Department of Informatics, Clausthal University of Technology, Julius-Albert-Str. 4, 38678 Clausthal-Zellerfeld, Germany
Special Session on Cellular Automata Algorithms & Architectures (CAAA 2012), 2012
@article{drieseberg2012c,
title={C to Cellular Automata and Execution on CPU, GPU and FPGA},
author={Drieseberg, J. and Siemers, C.},
volume={1},
pages={7},
year={2012}
}
Over the last decades Cellular Automata (CA) have become more and more present in solving general-purpose problems, but the main issue is how to map a problem to a Cellular Automata model. Special languages were developed for programming such models, but learning a new programming language is very time consuming. Furthermore software developers have to keep in mind the specific structure of Cellular Automata when designing a new algorithm. In this paper we present a method to generate Cellular Automata models from standard C code. The code is transcoded by mapping the complete algorithm written in C to a Cellular Automata model that may be compiled for CPU, GPU and even FPGA without further user interaction.
August 2, 2012 by hgpu
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