Learn about parallel computing by building your own system using Raspberry Pi Build a two-node parallel computing cluster Integrate Raspberry Pi with Hadoop to build your own super cluster. 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.
Table of Contents
1. Clusters, Parallel Computing, and Raspberry Pi – A Brief Background
2. Setting Up your Raspberry Pi Software and Hardware for Parallel Computing
3. Parallel Computing – MPI on the Raspberry Pi
4. Hadoop – Distributed Applications on the Raspberry Pi
5. MapReduce Applications with Hadoop and Java
6. Calculate Pi with Hadoop and MPI
7. Going Further
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