Abstract
Last few years have seen introduction of more and more advanced manycore processors. Both very well known devices like GPGPU and Intel MIC and less popular, but still very interesting, like Epiphany. There is also a growing popularity of cheap, credit-card-sized devices offering advanced features and high computational power. One of this kind of devices is the Parallella board that focuses on the parallel computing and features the Epiphany coprocessor. In this paper we propose an architecture for distributed computational systems based on Parallella and the “multiple instruction, multiple data” (MIMD) coprocessor Epiphany. This manycore processor consists of sixteen cores connected by a mesh network-on-a-chip. The presented architecture enables the usage of multiple Parallella boards in a single system with a possibility to also use other computing units. The target usage of this system are multi-agent systems (MAS) and we present selected scenarios that could be easily implemented and would benefit from the properties provided by multiple MIMD devices.
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Notes
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There is an OpenCL library targeting Epiphany: http://www.browndeertechnology.com/coprthr.htm.
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Available at: https://github.com/java-native-access/jna.
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Acknowledgments
The research reported in the paper was supported by the grant “Hybrid model of the early detection of internal diseases based on the paradigm of interacting particles and multi-agent system” (No. DEC-2013/09/N/ST6/01011) from the Polish National Science Centre.
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Faber, Ł. (2017). Distributed Computing Architecture on Epiphany MIMD Accelerators. In: Grzech, A., Świątek, J., Wilimowska, Z., Borzemski, L. (eds) Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part II. Advances in Intelligent Systems and Computing, vol 522. Springer, Cham. https://doi.org/10.1007/978-3-319-46586-9_10
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