High Performance Computing Systems. Performance Modeling, Benchmarking and Simulation
4th International Workshop, PMBS 2013, Denver, CO, USA, November 18, 2013. Revised Selected Papers Herausgegeben:Jarvis, Stephen; Wright, Steven; Hammond, Simon
High Performance Computing Systems. Performance Modeling, Benchmarking and Simulation
4th International Workshop, PMBS 2013, Denver, CO, USA, November 18, 2013. Revised Selected Papers Herausgegeben:Jarvis, Stephen; Wright, Steven; Hammond, Simon
This book constitutes the refereed proceedings of the 4th International Workshop, PMBS 2013 in Denver, CO, USA in November 2013. The 14 papers presented in this volume were carefully reviewed and selected from 37 submissions. The selected articles broadly cover topics on massively parallel and high-performance simulations, modeling and simulation, model development and analysis, performance optimization, power estimation and optimization, high performance computing, reliability, performance analysis, and network simulations.
This book constitutes the refereed proceedings of the 4th International Workshop, PMBS 2013 in Denver, CO, USA in November 2013. The 14 papers presented in this volume were carefully reviewed and selected from 37 submissions. The selected articles broadly cover topics on massively parallel and high-performance simulations, modeling and simulation, model development and analysis, performance optimization, power estimation and optimization, high performance computing, reliability, performance analysis, and network simulations.
Produktdetails
Produktdetails
Theoretical Computer Science and General Issues 8551
Artikelnr. des Verlages: 86377744, 978-3-319-10213-9
2014
Seitenzahl: 308
Erscheinungstermin: 20. Oktober 2014
Englisch
Abmessung: 235mm x 155mm x 17mm
Gewicht: 470g
ISBN-13: 9783319102139
ISBN-10: 3319102133
Artikelnr.: 41175275
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Inhaltsangabe
Section A: Performance Benchmarking and Analysis Quantifying Architectural Requirements of Contemporary Extreme-Scale Scientific Applications.- Performance Evaluation of the Intel Sandy Bridge Based NASA Pleiades Using Scientific and Engineering Applications.- Analysis of Cray XC30 Performance using Trinity- NERSC-8 benchmarks and comparison with Cray XE6 and IBM BG/Q.- Analysis of Data Reuse in Task-Parallel Runtimes.- Section B: Performance Modeling and Simulation.- Using Simulation to Evaluate the Performance of Resilience Strategies at Scale.- Characterizing the Impact of Prefetching on Scientific Application Performance.- Performance Modeling of Gyrokinetic Toroidal Simulations for a Many-tasking Runtime System.- Toward Better Simulation of MPI Applications on Ethernet/TCP Networks.- SESH framework: A Space Exploration Framework for GPU Application and Hardware Codesign.- Optimal Checkpointing Period: Time vs. Energy.- Section C: Performance Optimization.- Tuning HipGISAXS on Multi and Many Core Supercomputers.- Multi Objective Optimization of HPC Kernels for Performance, Power, and Energy.- Performance Tuning of Fock Matrix and Two-Electron Integral Calculations for NWChem on Leading HPC Platforms.-Performance analysis of the NWChem TCE for different communication patterns.
Section A: Performance Benchmarking and Analysis Quantifying Architectural Requirements of Contemporary Extreme-Scale Scientific Applications.- Performance Evaluation of the Intel Sandy Bridge Based NASA Pleiades Using Scientific and Engineering Applications.- Analysis of Cray XC30 Performance using Trinity- NERSC-8 benchmarks and comparison with Cray XE6 and IBM BG/Q.- Analysis of Data Reuse in Task-Parallel Runtimes.- Section B: Performance Modeling and Simulation.- Using Simulation to Evaluate the Performance of Resilience Strategies at Scale.- Characterizing the Impact of Prefetching on Scientific Application Performance.- Performance Modeling of Gyrokinetic Toroidal Simulations for a Many-tasking Runtime System.- Toward Better Simulation of MPI Applications on Ethernet/TCP Networks.- SESH framework: A Space Exploration Framework for GPU Application and Hardware Codesign.- Optimal Checkpointing Period: Time vs. Energy.- Section C: Performance Optimization.- Tuning HipGISAXS on Multi and Many Core Supercomputers.- Multi Objective Optimization of HPC Kernels for Performance, Power, and Energy.- Performance Tuning of Fock Matrix and Two-Electron Integral Calculations for NWChem on Leading HPC Platforms.-Performance analysis of the NWChem TCE for different communication patterns.
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