High Performance Computing Systems. Performance Modeling, Benchmarking and Simulation

<p>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. </p>