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High Performance Computing

Overview of attention for book
Cover of 'High Performance Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Running Multi-relational Data Mining Processes in the Cloud: A Practical Approach for Social Networks
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    Chapter 2 Methods for Job Scheduling on Computational Grids: Review and Comparison
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    Chapter 3 Cloud Computing for Fluorescence Correlation Spectroscopy Simulations
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    Chapter 4 Porting a Numerical Atmospheric Model to a Cloud Service
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    Chapter 5 Determining the Real Capacity of a Desktop Cloud
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    Chapter 6 Improvements to Super-Peer Policy Communication Mechanisms
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    Chapter 7 Asynchronous in Situ Processing with Gromacs: Taking Advantage of GPUs
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    Chapter 8 Solving Linear Systems on the Intel Xeon-Phi Accelerator via the Gauss-Huard Algorithm
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    Chapter 9 On a Dynamic Scheduling Approach to Execute OpenCL Jobs on APUs
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    Chapter 10 Fine-Tuning Xeon Architecture Vectorization and Parallelization of a Numerical Method for Convection-Diffusion Equations
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    Chapter 11 Parallel Performance Analysis of a Regional Numerical Weather Prediction Model in a Petascale Machine
Attention for Chapter 8: Solving Linear Systems on the Intel Xeon-Phi Accelerator via the Gauss-Huard Algorithm
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Chapter title
Solving Linear Systems on the Intel Xeon-Phi Accelerator via the Gauss-Huard Algorithm
Chapter number 8
Book title
High Performance Computing
Published by
Springer, Cham, August 2015
DOI 10.1007/978-3-319-26928-3_8
Book ISBNs
978-3-31-926927-6, 978-3-31-926928-3
Authors

Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Professor > Associate Professor 1 50%
Readers by discipline Count As %
Computer Science 2 100%

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