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

Monte Carlo simulators

A Monte Carlo simulator, also known as Monte Carlo methods, is a type of computational method found in a variety of fields ranging from physics to finance.

Monte Carlo simulators use randomized sampling repeatedly in order to obtain a result for a particular mathematical question.

The name is derived from the city of Monte Carlo in Monaco. The origin of the name comes from Manhattan project participants Stanislaw Ulam and John Von Neumann in reference to a relative of Ulam who had a taste for gambling.

Calculating П is an example of a problem especially suited to this type of algorithm and an early example of this is Buffon's needle. You can read more about the history of this experiment at Wolfram MathWorld:

In order to calculate П we can also use another method that involves a diagram displaying a circle located in a square divided into four quarters.

In this diagram we are interested in the top-right quarter of...