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

Writing an MPI-based application


The following application is a simple Hello World style program that will demonstrate some of the features of MPI.

A list of supported MPI-based functions and datatypes can be reviewed at:

http://www.mpi-forum.org/docs/mpi-3.0/mpi30-report.pdf

You will need to log into the Master Raspberry Pi to start with.

On this machine create a new file in the code directory under mpich3 called hello_rpi.c. For example:

vim /home/pi/mpich3/code/hello_rpi.c

To this file we are now going to add the following code:

/*
Hello RPI implemented using MPI
*/

#include <stdio.h>
#include <mpi.h>

Here we include the MPI-specific header directive: mpi.h, which will give us access to the MPI library.

Following this we can add the main function to the code. Copy and paste the following under the header directives:

int main(int argc, char *argv[])
{
  int rpi; // The raspberry pi node
  int totalrpi; // The total number of rpi's

  MPI_Init(&argc, &argv);
  MPI_Comm_rank...