The Resource Raspberry Pi Super Cluster

Raspberry Pi Super Cluster

Raspberry Pi Super Cluster
Raspberry Pi Super Cluster
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
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Dewey number
  • 005.2/762
  • 005.2/768
no index present
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Literary form
non fiction
Nature of contents
Raspberry Pi Super Cluster
Power for multiple devices
  • net
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online resource
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  • Cover; Copyright; Credits; About the Author; About the Reviewers;; Table of Contents; Preface; Chapter 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; Chapter 2: Setting up your Raspberry Pi Software and Hardware for Parallel Computing; Setting up our work environment
  • Chapter 3: Parallel Computing -- MPI on the Raspberry PiMPI -- 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; Windows 8; Mac OS X; Linux; Powering up the second Raspberry Pi; RSA key setup for SSH; Writing an MPI-based application; MPI -- point-to-point communication; Summary; Chapter 4: Hadoop -- Distributed Applications on the Raspberry Pi; A brief introduction to Apache Hadoop
  • HDMI-capable monitor or VGA/DVI monitor and adapterUSB 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
  • Installing JavaInstalling Apache Hadoop; Hadoop configuration; Testing our Hadoop server; Setting up our second Raspberry Pi; Summary; Chapter 5: MapReduce Applications with Hadoop and Java; MapReduce; MapReduce in Hadoop; HDFS -- The Hadoop distributed file system; The WordCount MapReduce program; Testing our application; Summary; Chapter 6: Calculate Pi with Hadoop and MPI; Monte Carlo simulators; A Hadoop application to calculate Pi; Pi with C and MPI; Summary; Chapter 7: Going Further; Booting from an external USB HDD; Building a Lego enclosure; Experimenting with MPI and Fortran
  • Mac OS X SD card formatting instructionsWindows 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; 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; Summary
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1 online resource (126 pages)
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Specific material designation
System control number
  • (OCoLC)863822861
  • pebco1783286199

Library Locations

    • Deakin University Library - Geelong Waurn Ponds CampusBorrow it
      75 Pigdons Road, Waurn Ponds, Victoria, 3216, AU
      -38.195656 144.304955
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