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Build Supercomputers with Raspberry Pi 3

You're reading from Build Supercomputers with Raspberry Pi 3 A step-by-step guide that will enhance your skills in creating powerful systems to solve complex issues

Product type Paperback

Published in Mar 2017

Publisher Packt

ISBN-13 9781787282582

Length 254 pages

Edition 1st Edition

Languages

R

Tools

Raspberry Pi

Concepts

Single Board Computers

Author (1):

Carlos R. Morrison

View More author details

Table of Contents (13) Chapters

Preface

1. Getting Started with Supercomputing FREE CHAPTER

2. One Node Supercomputing

3. Preparing the Initial Two Nodes

4. Static IP Address and Hosts File Setup

5. Creating a Common User for All Nodes

6. Creating a Mountable Drive on the Master Node

Summary

7. Configuring the Eight Nodes

8. Testing the Super Cluster

9. Real-World Math Application

10. Real-World Physics Application

11. Real-World Engineering Application

A. Appendix

Definitions

Pi3 supercomputing

The following runs were generated by the author's 16-node, 64 core, 76.8 GHz. Raspberry Pi3 supercomputer. The runs clearly show the advantage of higher core processing speed, and greater node count. The following two images depict the author's beloved Pi3 supercomputer:

Author's 16-node, 64 cores, 76.8 GHz Raspberry Pi3 Supercomputer:

Close-up of the 16-node Raspberry Pi3 Supercomputer

Let's now have a look at the super cluster execution command syntax, and run results:

alpha@Mst0:/beta/gamma $ time mpiexec -H Mst0 MPI_08_b 
####################################################### 
 
Master node name: Mst0 
 
Enter the number of intervals: 
 
300000 
 
 
*** Number of processes: 1 
 
     Calculated pi = 3.141592653590713268840772798285 
              M_PI = 3.141592653589793115997963468544 
    Relative Error = 0.000000000000920152842809329741 
 
real 39m34.726s 
user 39m25.120s 
sys...

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Authors (1)

Carlos R. Morrison

Carlos R. Morrison

Carlos R. Morrison was born in Kingston, Jamaica, West Indies. He received a B.S. (Hons) degree in physics with a mathematics minor in 1986 from Hofstra University, Hempstead, NY, and an M.S. degree in physics in 1989 from Polytechnic University, Brooklyn, NY. In 1989, he joined the NASA Glenn Research Center, Cleveland, OH, as a staff scientist in the solid-state physics branch and, in 1999, he transferred to the structures and dynamics branch. He has authored and coauthored several journal and technical articles associated with aerospace and electromagnetic devices. He holds several patents, including one on the Morrison Motor for which he won the 2004 R&D 100 Award, and software technologies used to control magnetic bearings. He is currently engaged in research associated with room temperature and superconducting reluctance motors, and Simulink Simulation of said motors. Mr. Morrison is a member of the American Physical Society and the National Technical Association.

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