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Raspberry Pi Super Cluster
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Table of Contents
Raspberry Pi Super Cluster
Credits
About the Author
About the Reviewers
www.PacktPub.com
Support files, eBooks, discount offers and more
Why Subscribe?
Free Access for Packt account holders
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Errata
Piracy
Questions
1. Clusters, Parallel Computing, and Raspberry Pi – A Brief Background
A very short history of parallel computing
Supercomputers
Multi-core and multiprocessor machines
Commodity hardware clusters
Cloud computing
Big data
Raspberry Pi and parallel computing
Programming languages and frameworks
Summary
2. Setting Up your Raspberry Pi Software and Hardware for Parallel Computing
Setting up our work environment
HDMI-capable monitor or VGA/DVI monitor and adapter
USB keyboard and mouse
Two micro-USB power units
A desk-mounted power strip with both USB and mains outlets (optional)
Three Ethernet/RJ45 network cables
A small network switch
An existing Internet connection
Two SD cards that are compatible with the Raspberry Pi
Housing units for the Raspberry Pi boards and Lego (optional)
USB hard drives (optional)
Future expansion and a scalable setup
Completing the initial setup
Using an SD card as our Raspberry Pi's storage device
SD card setup
Formatting our card
Mac OS X SD card formatting instructions
Windows 8 SD card formatting instructions
Linux instructions for SD card formatting
BerryBoot version 2
Downloading the BerryBoot version 2 ZIP file
Mac OS X
Windows 8
Linux
Starting up the Raspberry Pi
The installation process
Installation complete
Testing SSH and setting up keys
Connecting via SSH
Mac OS X and Linux users
Windows 8 users with PuTTY
SSH running successfully
Setting up your SSH RSA keys
The ssh-agent and ssh-add tools
SSH setup complete
Wrapping up
Editing text files on Raspbian
Installing Fortran
Terminal multiplexing with Screen
Summary
3. Parallel Computing – MPI on the Raspberry Pi
MPI – Message Passing Interface
MPI implementations – MPICH and OpenMPI
Creating an environment and downloading MPICH
Building and installing MPICH
Configuring your Raspberry Pi to run with MPICH
Testing our MPICH installation
Building our second Raspberry Pi
Windows 8
Mac OS X
Linux
Powering up the second Raspberry Pi
RSA key setup for SSH
Writing an MPI-based application
MPI – point-to-point communication
Summary
4. Hadoop – Distributed Applications on the Raspberry Pi
A brief introduction to Apache Hadoop
Installing Java
Installing Apache Hadoop
Hadoop configuration
Testing our Hadoop server
Setting up our second Raspberry Pi
Summary
5. MapReduce Applications with Hadoop and Java
MapReduce
MapReduce in Hadoop
HDFS – The Hadoop distributed file system
The WordCount MapReduce program
Testing our application
Summary
6. Calculate Pi with Hadoop and MPI
Monte Carlo simulators
A Hadoop application to calculate Pi
Pi with C language and MPI
Summary
7. Going Further
Booting from an external USB HDD
Building a Lego enclosure
Experimenting with MPI and Fortran
Power for multiple devices
USB wall plates
Battery power
Using a PC power supply
Power over Ethernet
Summary
A. Appendix
Fortran and C/C++
MPI, Hadoop, and parallel computing
Raspberry Pi cases and clusters
Index
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Raspberry Pi Super Cluster
Copyright © 2013 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: November 2013
Production Reference: 1131113
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78328-619-5
www.packtpub.com
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Author
Andrew K. Dennis
Reviewers
Prasanna Gautam
Sungjin Han
Claes Jakobsson
Acquisition Editors
Anthony Albuquerque
Edward Gordon
Commissioning Editor
Amit Ghodake
Technical Editors
Faisal Siddiqui
Sonali S. Vernekar
Project Coordinator
Aboli Ambardekar
Proofreader
Stephen Copestake
Indexer
Monica Ajmera Mehta
Graphics
Abhinash Sahu
Production Coordinator
Alwin Roy
Cover Work
Alwin Roy
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Andrew K. Dennis is the Manager of Application Development at Prometheus Research. Prometheus Research is a leading provider of integrated data management for research and the home of HTSQL, an open source navigational query language for RDMS.
Andrew has a Diploma in Computing and a BS in Software Engineering; he is currently studying a second BS in Creative Computing in his spare time.
He has over 10 years of experience working in the software industry in the UK, Canada, and USA. This experience includes e-Learning, CMS and LMS development, SCORM consultancy, web development in a variety of languages, open source application development, and running a blog dedicated to maker culture and home automation.
His interests include web development, e-Learning, 3D printing, Linux, the Raspberry Pi and Arduino, open source projects, parallel computing, home automation, amateur electronics, home networ...
