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Cu-T-Pi Revised: An Updated Model Supercomputer for Parallel Computing Pedagogy

  • James WolferEmail author
Conference paper
  • 16 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1135)

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.

Keywords

High-Performance Computing Parallel computing Hardware model Deep-learning inference Pedagogy 

Notes

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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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Indiana University South BendSouth BendUSA

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