High Performance Computing Systems. Performance Modeling, Benchmarking and Simulation - Info and Reading Options

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Intro -- 4th International Workshop on Performance Modeling,Benchmarking and Simulation of High-PerformanceComputing Systems (PMBS 2013) -- PMBS 2013 -- Organization -- Contents -- Performance Benchmarkingand Analysis -- Quantifying Architectural Requirements of Contemporary Extreme-Scale Scientific Applications -- 1 Introduction -- 1.1 Key Metrics and Methods -- 1.2 Related Work -- 1.3 Assumptions and Caveats -- 1.4 Experimental Platform -- 2 Instruction Mix -- 3 Memory Behavior -- 3.1 Memory Bandwidth -- 3.2 Reuse Distance -- 4 Communication -- 4.1 Point-to-Point Communication -- 4.2 Collective Communication -- 5 Observations -- 6 Summary -- References -- Performance Evaluation of the Intel Sandy Bridge BasedNASA Pleiades Using Scientific and EngineeringApplications -- 1 Introduction -- 2 Computing Platforms -- 2.1 Pleiades Sandy Bridge -- 3 Benchmarks and Applications -- 3.1 HPC Challenge Benchmarks (HPCC) -- 3.2 Memory Subsystem Latency and Bandwidth -- 3.3 NAS Parallel Benchmarks (NPB) -- 3.4 Science and Engineering Applications -- 4 Results -- 4.1 Memory Latency and Bandwidth -- 4.2 HPC Challenge Benchmarks (HPCC) -- 4.3 Science and Engineering Applications -- 5 Conclusions -- References -- Analysis of Cray XC30 Performance Using Trinity-NERSC-8 Benchmarks and Comparison with Cray XE6 and IBM BG/Q -- 1 Introduction -- 2 Test Platform Descriptions -- 2.1 BlueGene/Q: Mira and Vulcan -- 2.2 Cray XE6: Hopper -- 2.3 Cray XC30: Edison -- 3 Benchmarks Descriptions and Problem Definitions -- 3.1 MILC -- 3.2 GTC -- 3.3 FLASH -- 3.4 Finite Element (MiniFE) -- 3.5 Unstructured Mesh Transport (UMT) -- 4 Performance Results -- 4.1 STREAM -- 4.2 NERSC-6 Applications on Hopper and Edison -- 4.3 Application Performance On Test Platforms -- 5 Related Work -- 6 Summary and Conclusions -- References -- Analysis of Data Reuse in Task-Parallel Runtimes

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