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High Performance Computing Systems. Performance Modeling, Benchmarking and Simulation

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Cover of 'High Performance Computing Systems. Performance Modeling, Benchmarking and Simulation'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Quantifying Architectural Requirements of Contemporary Extreme-Scale Scientific Applications
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    Chapter 2 Performance Evaluation of the Intel Sandy Bridge Based NASA Pleiades Using Scientific and Engineering Applications
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    Chapter 3 Analysis of Cray XC30 Performance Using Trinity-NERSC-8 Benchmarks and Comparison with Cray XE6 and IBM BG/Q
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    Chapter 4 Analysis of Data Reuse in Task-Parallel Runtimes
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    Chapter 5 Using Simulation to Evaluate the Performance of Resilience Strategies at Scale
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    Chapter 6 Characterizing the Impact of Prefetching on Scientific Application Performance
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    Chapter 7 Performance Modeling of Gyrokinetic Toroidal Simulations for a Many-Tasking Runtime System
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    Chapter 8 Toward Better Simulation of MPI Applications on Ethernet/TCP Networks
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    Chapter 9 SESH Framework: A Space Exploration Framework for GPU Application and Hardware Codesign
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    Chapter 10 Optimal Checkpointing Period: Time vs. Energy
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    Chapter 11 Tuning HipGISAXS on Multi and Many Core Supercomputers
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    Chapter 12 Multi Objective Optimization of HPC Kernels for Performance, Power, and Energy
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    Chapter 13 Performance Tuning of Fock Matrix and Two-Electron Integral Calculations for NWChem on Leading HPC Platforms
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    Chapter 14 Performance Analysis of the NWChem TCE for Different Communication Patterns
Attention for Chapter 1: Quantifying Architectural Requirements of Contemporary Extreme-Scale Scientific Applications
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Chapter title
Quantifying Architectural Requirements of Contemporary Extreme-Scale Scientific Applications
Chapter number 1
Book title
High Performance Computing Systems. Performance Modeling, Benchmarking and Simulation
Published by
Springer, Cham, November 2013
DOI 10.1007/978-3-319-10214-6_1
Book ISBNs
978-3-31-910213-9, 978-3-31-910214-6
Authors

Jeffrey S. Vetter, Seyong Lee, Dong Li, Gabriel Marin, Collin McCurdy, Jeremy Meredith, Philip C. Roth, Kyle Spafford

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 8%
United States 1 8%
Unknown 10 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 58%
Student > Master 2 17%
Researcher 2 17%
Professor > Associate Professor 1 8%
Readers by discipline Count As %
Computer Science 8 67%
Engineering 3 25%
Physics and Astronomy 1 8%