High performance computing systems =...
PMBS (Workshop) (2017 :)

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  • High performance computing systems = performance modeling, benchmarking, and aimulation : 8th International Workshop, PMBS 2017, Denver, CO, USA, November 13, 2017 : proceedings /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: High performance computing systems/ edited by Stephen Jarvis, Steven Wright, Simon Hammond.
    Reminder of title: performance modeling, benchmarking, and aimulation : 8th International Workshop, PMBS 2017, Denver, CO, USA, November 13, 2017 : proceedings /
    remainder title: PMBS 2017
    other author: Jarvis, Stephen.
    corporate name: PMBS (Workshop)
    Published: Cham :Springer International Publishing : : 2018.,
    Description: xii, 261 p. :ill., digital ;24 cm.
    [NT 15003449]: 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.
    Contained By: Springer eBooks
    Subject: High performance computing - Congresses. -
    Online resource: http://dx.doi.org/10.1007/978-3-319-72971-8
    ISBN: 9783319729718
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