Raspberry Pi super cluster / Andrew K. Dennis.

Format:

Book

Author/Creator:

Dennis, Andrew K.

Series:

Community experience distilled

Language:

English

Subjects (All):

Computer programming.

Raspberry Pi (Computer)--Programming.

Raspberry Pi (Computer).

Physical Description:

1 online resource (126 p.)

Edition:

2nd ed.

Place of Publication:

Birmingham : Packt Publishing, 2013.

Language Note:

English

Biography/History:

Dennis Andrew K. : Andrew K. Dennis is a full stack and cybersecurity architect with over 17 years' experience who currently works for Modus Create in Reston, VA. He holds two undergraduate degrees in software engineering and creative computing and a master's degree in information security. Andy has worked in the US, Canada, and the UK in software engineering, e-learning, data science, and cybersecurity across his career, and has written four books on IoT, the Raspberry Pi, and supercomputing. His interests range from the application of pataphysics in computing to security threat modeling. Andy lives in New England and is an organizer of Security BSides CT.

Summary:

This book follows a step-by-step, tutorial-based approach which will teach you how to develop your own super cluster using Raspberry Pi computers quickly and efficiently.Raspberry Pi Super Cluster is an introductory guide for those interested in experimenting with parallel computing at home. Aimed at Raspberry Pi enthusiasts, this book is a primer for getting your first cluster up and running.Basic knowledge of C or Java would be helpful but no prior knowledge of parallel computing is necessary.

Contents:

Intro

Raspberry Pi Super Cluster

Table of Contents

Credits

About the Author

About the Reviewers

www.PacktPub.com

Support files, eBooks, discount offers and more

Why Subscribe?

Free Access for Packt account holders

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Errata

Piracy

Questions

1. Clusters, Parallel Computing, and Raspberry Pi - A Brief Background

A very short history of parallel computing

Supercomputers

Multi-core and multiprocessor machines

Commodity hardware clusters

Cloud computing

Big data

Raspberry Pi and parallel computing

Programming languages and frameworks

Summary

2. Setting Up your Raspberry Pi Software and Hardware for Parallel Computing

Setting up our work environment

HDMI-capable monitor or VGA/DVI monitor and adapter

USB keyboard and mouse

Two micro-USB power units

A desk-mounted power strip with both USB and mains outlets (optional)

Three Ethernet/RJ45 network cables

A small network switch

An existing Internet connection

Two SD cards that are compatible with the Raspberry Pi

Housing units for the Raspberry Pi boards and Lego (optional)

USB hard drives (optional)

Future expansion and a scalable setup

Completing the initial setup

Using an SD card as our Raspberry Pi's storage device

SD card setup

Formatting our card

Mac OS X SD card formatting instructions

Windows 8 SD card formatting instructions

Linux instructions for SD card formatting

BerryBoot version 2

Downloading the BerryBoot version 2 ZIP file

Mac OS X

Windows 8

Linux

Starting up the Raspberry Pi

The installation process

Installation complete.

Testing SSH and setting up keys

Connecting via SSH

Mac OS X and Linux users

Windows 8 users with PuTTY

SSH running successfully

Setting up your SSH RSA keys

The ssh-agent and ssh-add tools

SSH setup complete

Wrapping up

Editing text files on Raspbian

Installing Fortran

Terminal multiplexing with Screen

3. Parallel Computing - MPI on the Raspberry Pi

MPI - Message Passing Interface

MPI implementations - MPICH and OpenMPI

Creating an environment and downloading MPICH

Building and installing MPICH

Configuring your Raspberry Pi to run with MPICH

Testing our MPICH installation

Building our second Raspberry Pi

Powering up the second Raspberry Pi

RSA key setup for SSH

Writing an MPI-based application

MPI - point-to-point communication

4. Hadoop - Distributed Applications on the Raspberry Pi

A brief introduction to Apache Hadoop

Installing Java

Installing Apache Hadoop

Hadoop configuration

Testing our Hadoop server

Setting up our second Raspberry Pi

5. MapReduce Applications with Hadoop and Java

MapReduce

MapReduce in Hadoop

HDFS - The Hadoop distributed file system

The WordCount MapReduce program

Testing our application

6. Calculate Pi with Hadoop and MPI

Monte Carlo simulators

A Hadoop application to calculate Pi

Pi with C language and MPI

7. Going Further

Booting from an external USB HDD

Building a Lego enclosure

Experimenting with MPI and Fortran

Power for multiple devices

USB wall plates

Battery power

Using a PC power supply

Power over Ethernet

A. Appendix

Fortran and C/C++

MPI, Hadoop, and parallel computing

Raspberry Pi cases and clusters

Index.

Notes:

Includes index.

Description based on online resource; title from PDF title page (ebrary, viewed December 19, 2013).

ISBN:

9781783286201

1783286202

OCLC:

863822861