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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

Calculations on cloud-distributed mesh grids

In order to distribute mathematical problems onto a cluster, it is necessary to create a logical plan that maps the data array onto the logical computation nodes. In technological or scientific calculations, a real body or space often builds the basis for a fundamental description. For example, we want to calculate the strain inside a two-dimensional body or the heat transfer from one side to the other side of this body. In order to do this, it is necessary to describe this body in a mathematical manner.

The triangulation of a body mesh

To accomplish this description, you need to calculate all the physical properties of all infinitesimally small constituents of it. Usually, this would be atoms or molecules. However, a sugar cube already contains around 10 to the power of 21 atoms. These are thousands of billions of billions of atoms. If you want to store a few numbers, for example, eight double format floating point numbers for each of these atoms...

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Tech Concepts
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Programming languages
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Building a BeagleBone Black Super Cluster
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