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High Performance Computing on Vector Systems

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Cover of 'High Performance Computing on Vector Systems'

Table of Contents

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    Book Overview
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    Chapter 1 The NEC SX-8 Vector Supercomputer System
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    Chapter 2 Have the Vectors the Continuing Ability to Parry the Attack of the Killer Micros?
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    Chapter 3 Performance Evaluation of Lattice-Boltzmann Magnetohydrodynamics Simulations on Modern Parallel Vector Systems
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    Chapter 4 Over 10 TFLOPS Computation for a Huge Sparse Eigensolver on the Earth Simulator
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    Chapter 5 First-Principles Simulation on Femtosecond Dynamics in Condensed Matters Within TDDFT-MD Approach
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    Chapter 6 Numerical Simulation of Transition and Turbulence in Wall-Bounded Shear Flow
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    Chapter 7 Computational Efficiency of Parallel Unstructured Finite Element Simulations
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    Chapter 8 The Role of Supercomputing in Industrial Combustion Modeling
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    Chapter 9 Simulation of the Unsteady Flow Field Around a Complete Helicopter with a Structured RANS Solver
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    Chapter 10 A Hybrid LES/CAA Method for Aeroacoustic Applications
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    Chapter 11 Simulation of Vortex Instabilities in Turbomachinery
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    Chapter 12 Atomistic Simulations on Scalar and Vector Computers
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    Chapter 13 Molecular Simulation of Fluids with Short Range Potentials
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    Chapter 14 Toward TFlop Simulations of Supernovae
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    Chapter 15 Statistics and Intermittency of Developed Channel Flows: a Grand Challenge in Turbulence Modeling and Simulation
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    Chapter 16 Direct Numerical Simulation of Shear Flow Phenomena on Parallel Vector Computers
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High Performance Computing on Vector Systems
Published by
Springer Berlin Heidelberg, May 2007
DOI 10.1007/3-540-35074-8
978-3-54-029124-4, 978-3-54-035074-3

Resch, Michael, Bönisch, Thomas, Benkert, Katharina, Bez, Wolfgang, Furui, Toshiyuki, Seo, Yoshiki

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Researcher 2 22%
Student > Bachelor 1 11%
Student > Doctoral Student 1 11%
Student > Master 1 11%
Other 1 11%
Readers by discipline Count As %
Engineering 5 56%
Physics and Astronomy 1 11%
Computer Science 1 11%
Materials Science 1 11%
Arts and Humanities 1 11%
Other 0 0%