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
About the Author
About the Reviewers

Chapter 3. Parallel Computing – MPI on the Raspberry Pi

In this chapter we will be investigating the technology known as MPICH. MPICH is an implementation of the Message Passing Interface standard which we briefly touched upon in Chapter 1, Clusters, Parallel Computing, and Raspberry Pi – A Brief Background.

So what subject area do we cover in relation to this technology?

First we will compare MPICH to an alternative implementation of MPI called OpenMPI. Following this we will install and then set up MPICH on our Raspberry Pi (RPi) and run a test application to check if it is working. After this we will clone our SD card and set up our second Raspberry Pi. This gives us the opportunity to execute a test application on two Raspberry Pis and see a calculation of Π being run in parallel.

Finally we will write some simple applications to demonstrate how MPI works.