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High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation: 8th International Workshop, PMBS 2017, Denver, CO, USA, November 13, 2017, Proceedings 1st ed. 2018 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 261 pages, height x width: 235x155 mm, weight: 454 g, 105 Illustrations, black and white; XII, 261 p. 105 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 10724
  • Izdošanas datums: 10-Jan-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319729705
  • ISBN-13: 9783319729701
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High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation: 8th International Workshop, PMBS 2017, Denver, CO, USA, November 13, 2017, Proceedings 1st ed. 2018Palielināt
  • Formāts: Paperback / softback, 261 pages, height x width: 235x155 mm, weight: 454 g, 105 Illustrations, black and white; XII, 261 p. 105 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 10724
  • Izdošanas datums: 10-Jan-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319729705
  • ISBN-13: 9783319729701
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783319729701.html
Keywords:
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.

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 and Haswell Architectures.- A survey of application memory usage on a national supercomputer: an analysis of memory requirements on ARCHER.