Book Image

Raspberry Pi Super Cluster

By : Andrew K. Dennis
Book Image

Raspberry Pi Super Cluster

By: Andrew K. Dennis

Overview of this book

A cluster is a type of parallel/distributed processing system which consists of a collection of interconnected stand-alone computers cooperatively working together. Using Raspberry Pi computers, you can build a two-node parallel computing cluster which enhances performance and availability. This practical, example-oriented guide will teach you how to set up the hardware and operating systems of multiple Raspberry Pi computers to create your own cluster. It will then navigate you through how to install the necessary software to write your own programs such as Hadoop and MPICH before moving on to cover topics such as MapReduce. Throughout this book, you will explore the technology with the help of practical examples and tutorials to help you learn quickly and efficiently. Starting from a pile of hardware, with this book, you will be guided through exciting tutorials that will help you turn your hardware into your own super-computing cluster. You'll start out by learning how to set up your Raspberry Pi cluster's hardware. Following this, you will be taken through how to install the operating system, and you will also be given a taste of what parallel computing is about. With your Raspberry Pi cluster successfully set up, you will then install software such as MPI and Hadoop. Having reviewed some examples and written some programs that explore these two technologies, you will then wrap up with some fun ancillary projects. Finally, you will be provided with useful links to help take your projects to the next step.
Table of Contents (15 chapters)
Raspberry Pi Super Cluster
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


This chapter concludes the projects presented in this book. Here we learned how to use the Raspberry Pi with a USB HDD. We also explored building a case using Lego. As a follow up to this, the Appendix provides you with a number of resources for purchasing Raspberry Pi cases or 3D-printing custom cases.

Following building a case, we explored writing another MPI-based application, this time using the Fortran programming language.

Finally we provided some ideas for alternative power sources for your Raspberry Pi cluster and some links to resources that discuss those.

The projects from this chapter, combined with those from across the rest of this book, have provided you with the basic tools needed to explore the topic of Parallel Computing further. You should now be familiar with MPI and Hadoop. You have also gained a solid understanding of how to build a new node and how to add it to your cluster.

We now leave it to you, the reader, to take the next steps in this exciting area of computing...