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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 11: Parallel Performance Analysis of a Regional Numerical Weather Prediction Model in a Petascale Machine
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mendeley
19 Mendeley
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Chapter title
Parallel Performance Analysis of a Regional Numerical Weather Prediction Model in a Petascale Machine
Chapter number 11
Book title
High Performance Computing
Published by
Springer, Cham, August 2015
DOI 10.1007/978-3-319-26928-3_11
Book ISBNs
978-3-31-926927-6, 978-3-31-926928-3
Authors

Roberto Pinto Souto, Pedro Leite da Silva Dias, Franck Vigilant

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 5%
Unknown 18 95%
Readers by discipline Count As %
Earth and Planetary Sciences 1 5%
Unknown 18 95%

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