This book constitutes the refereed proceedings papers from the 8th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems, PMBS 2017, held in Denver, Colorado, USA, in November 2017. The 10 full papers and 3 short papers included in this volume were carefully reviewed and selected from 36 submissions. They were organized in topical sections named: performance evaluation and analysis; performance modeling and simulation; and short papers.
This book constitutes the refereed proceedings papers from the 8th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems, PMBS 2017, held in Denver, Colorado, USA, in November 2017. The 10 full papers and 3 short papers included in this volume were carefully reviewed and selected from 36 submissions. They were organized in topical sections named: performance evaluation and analysis; performance modeling and simulation; and short papers.
Produktdetails
Produktdetails
Theoretical Computer Science and General Issues 10724
Performance Evaluation and Analysis.- Evaluating On-Node GPU Interconnect for Deep Learning Workloads.- Comparison of Parallelisation Approaches,Languages, and Compilers for Unstructured Mesh Algorithms on GPUs.- Periodic I/O scheduling for super-computers.- A performance study of Quantum ESPRESSO's PWscf code on multi-core and GPU systems.- Section B: Performance Modeling and Simulation Modeling Large Compute Nodes with Heterogeneous Memories with Cache-Aware Rooine Model.- A Scalable Analytical Memory Model for CPU Performance Prediction.- Modeling UGAL on the Dragony Topology.- Resilient N-Body Tree Computations with Algorithm-Based Focused Recovery: Model and Performance Analysis.- Multi-fidelity Surrogate Modeling for Application/Architecture Co-design.- A Slurm Simulator: Implementation and Parametric Analysis.- Short Papers.- Path-synchronous Performance Monitoring in HPC Interconnection Networks with Source-code Attribution.- Performance and Energy Usage of Workloads on KNL andHaswell Architectures.- A survey of application memory usage on a national supercomputer: an analysis of memory requirements on ARCHER.
Performance Evaluation and Analysis.- Evaluating On-Node GPU Interconnect for Deep Learning Workloads.- Comparison of Parallelisation Approaches,Languages, and Compilers for Unstructured Mesh Algorithms on GPUs.- Periodic I/O scheduling for super-computers.- A performance study of Quantum ESPRESSO's PWscf code on multi-core and GPU systems.- Section B: Performance Modeling and Simulation Modeling Large Compute Nodes with Heterogeneous Memories with Cache-Aware Rooine Model.- A Scalable Analytical Memory Model for CPU Performance Prediction.- Modeling UGAL on the Dragony Topology.- Resilient N-Body Tree Computations with Algorithm-Based Focused Recovery: Model and Performance Analysis.- Multi-fidelity Surrogate Modeling for Application/Architecture Co-design.- A Slurm Simulator: Implementation and Parametric Analysis.- Short Papers.- Path-synchronous Performance Monitoring in HPC Interconnection Networks with Source-code Attribution.- Performance and Energy Usage of Workloads on KNL andHaswell Architectures.- A survey of application memory usage on a national supercomputer: an analysis of memory requirements on ARCHER.
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