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  • Book Overview & Buying Building a BeagleBone Black Super Cluster
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Building a BeagleBone Black Super Cluster

Building a BeagleBone Black Super Cluster

By : Andreas J Reichel
4.5 (4)
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Building a BeagleBone Black Super Cluster

Building a BeagleBone Black Super Cluster

4.5 (4)
By: Andreas J Reichel
Buy this Book

Overview of this book

If you are a programmer, scientist, or someone interested in modern computer technology that goes beyond the typical PC, then this book will show you the outstanding possibilities of cluster computing with modern embedded systems based on ARM architecture. Whether you need a high-speed or low-cost scalable cluster for simulations or want to try something new, this book is the right guide for you.
Table of Contents (9 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. BeagleBone Black System Board
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1. BeagleBone Black System Board
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Introducing the hardware
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The storage memory partition structure
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The boot-selection button
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Operating systems
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Software programming
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Summary
2
2. Building a Beowulf Cluster
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2. Building a Beowulf Cluster
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Minimal configuration and optional equipment
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Building a scalable board-mounting system
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Using a low-cost power source
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Setting up the network backbone
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The network topology
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The storage memory
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Summary
3
3. Operating System Setup and Configuration
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3. Operating System Setup and Configuration
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The Linux host environment
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Creating the master node's installation image
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Installing the operating system on the master node
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The external network storage
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Installing and configuring the slave nodes
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A crash course in developing applications
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Transferring files from and to the BeagleBone master node
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Summary
4
4. Parallel Computing with OpenMPI and ScaLAPACK
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4. Parallel Computing with OpenMPI and ScaLAPACK
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MPI – Message Passing Interface
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Installing and configuring OpenMPI
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Installing and configuring ScaLAPACK
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Summary
5
5. Advanced Solving of General Equation Systems
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5. Advanced Solving of General Equation Systems
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PETSc – a toolkit for scientific computation
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SLEPc – a library for Eigenvalue problems
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Summary
6
6. Scientific and Technological Examples of Parallel Computing
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6. Scientific and Technological Examples of Parallel Computing
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Calculations on cloud-distributed mesh grids
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deal.II – a powerful Physics calculation library
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Example programs
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Parallel solution of elastic equations
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The visualization of calculated data
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Summary
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A. References
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A. References
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Index
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Index

The external network storage

When executing multiprocessor applications, every CPU must have access to any software library required. As every CPU means every BBB in our case, every BBB must have access to the same software libraries. If we store those libraries locally, this would:

  • Waste a lot of memory

  • Cause a lot of work if we update something, because we would have to update every single node

  • Generate error sources because some nodes might have other versions installed, leading to inconsistency

To avoid these problems, an external network storage can be used. In this book, we will use a shared Samba folder. Samba can be easily installed on any Linux operating system. Ports for other OSes are also available. You can visit www.samba.org for more information.

In the following text, we will assume that you have a working Samba share on a server in your LAN with the following configuration:

[MPIShare]
comment = MPIShare
browseable = yes
readonly = no
valid users = ubuntu
path = /any_path_you_want_on_your_smb_server...
CONTINUE READING
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Tech Concepts
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Programming languages
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