A digital fuzzy processor for fuzzy-rule-based systems
Hardware implementation of intelligent systems
Implementing OpenMP on a high performance embedded multicore MPSoC
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
OpenMP extensions for FPGA accelerators
SAMOS'09 Proceedings of the 9th international conference on Systems, architectures, modeling and simulation
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Developing fuzzy applications contain many steps. Each part may require lots of computation cycles depending on applications and target platforms. In this work, we study the parallelism in fuzzy systems using openMP and its possibility in embedded plaforms. Two versions of the parallelization are mentioned: fine-grained and coarse-grained parallelism. In our study, we found that the coarse-grained approach is more effective due to the overhead of openMP which becomes more visible in the low-speed CPU. Thus, the coarse-grained approach is suggested. Two versions using paralle-for and section are proposed. Two versions give different speedup rate depending on characteristics of the applications and fuzzy parameters. In general, the experiments convey that as the system runs continuously the openMP implementation can achieve a certain speedup, overcoming the openMP overhead by the proposed parallelization schemes.