Abstract
Cu-T-Pi, named for the CUDA, Nvidia TK1, and Raspberry Pi technology included, is a heterogeneous model supercomputer. Used as a pedagogic tool for teaching high-performance parallel computing, this model supports the major programming paradigms used in modern supercomputing. This work describes a complete remake of the original computer as a hardware and performance refresh, along with augmentation to support embedded Deep Learning.
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Acknowledgment
The author gratefully acknowledges the Center for Parallel and Distributed Computing for their kind grant supporting Parallel and Distributed Computing curriculum development.
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Wolfer, J. (2020). Cu-T-Pi Revised: An Updated Model Supercomputer for Parallel Computing Pedagogy. In: Auer, M., Hortsch, H., Sethakul, P. (eds) The Impact of the 4th Industrial Revolution on Engineering Education. ICL 2019. Advances in Intelligent Systems and Computing, vol 1135. Springer, Cham. https://doi.org/10.1007/978-3-030-40271-6_52
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DOI: https://doi.org/10.1007/978-3-030-40271-6_52
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