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

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Intro -- Special Issue on the 8th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems (PMBS 2017) -- PMBS 2017 -- Organization -- Contents -- Performance Evaluation and Analysis -- Evaluating On-Node GPU Interconnects for Deep Learning Workloads -- 1 Introduction -- 2 Multi-GPU Computing Systems -- 2.1 NVIDIA P100 Pascal -- 2.2 NVIDIA DGX-1 and NVLink 1.0 -- 2.3 Cirrascale GX8 and SR3615 Switch -- 2.4 Inter-GPU Communication -- 3 Workloads -- 3.1 AlexNet -- 3.2 GoogLeNet -- 3.3 ResNet/x -- 3.4 Workload Characterization -- 4 Evaluation -- 4.1 Inter-GPU Data Transfer -- 4.2 Inter-GPU Collectives -- 4.3 Strong Scaling of AlexNet and GoogLeNet -- 4.4 Strong Scaling of ResNet/x -- 5 Related Work -- 6 Conclusions -- References -- Comparison of Parallelisation Approaches, Languages, and Compilers for Unstructured Mesh Algorithms on GPUs -- 1 Introduction -- 2 Related Work -- 3 Applications -- 3.1 Airfoil -- 3.2 Volna -- 3.3 BookLeaf -- 4 Test Setup -- 5 Benchmarking -- 5.1 Airfoil -- 5.2 Volna -- 5.3 BookLeaf -- 6 Conclusions -- References -- Periodic I/O Scheduling for Super-Computers -- 1 Introduction -- 2 Model -- 2.1 Parameters -- 2.2 Execution Model -- 2.3 Objectives -- 3 Periodic Scheduling Strategy -- 3.1 PerSched: A Periodic Scheduling Algorithm -- 3.2 Complexity Analysis -- 3.3 High-Level Implementation, Proof of Concept -- 4 Evaluation and Model Validation -- 4.1 Experimental Setup -- 4.2 Applications and Scenarios -- 4.3 Baseline and Evaluation of Existing Degradation -- 4.4 Comparison to Online Algorithms -- 5 Related Work -- 6 Conclusion -- References -- A Performance Study of Quantum ESPRESSO's PWscf Code on Multi-core and GPU Systems -- 1 Introduction -- 2 CUDA Programming Model and CUDA Fortran -- 3 Profiling Using NVTX -- 4 Structure of the PWscf Code

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