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High Performance Computing ISC High Performance 2020 International Workshops, Frankfurt, Germany, June 21–25, 2020, Revised Selected Papers /

This book constitutes the refereed post-conference proceedings of 10 workshops held at the 35th International ISC High Performance 2020 Conference, in Frankfurt, Germany, in June 2020: First Workshop on Compiler-assisted Correctness Checking and Performance Optimization for HPC (C3PO); First Interna...

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Corporate Author: SpringerLink (Online service)
Other Authors: Jagode, Heike. (Editor, http://id.loc.gov/vocabulary/relators/edt), Anzt, Hartwig. (Editor, http://id.loc.gov/vocabulary/relators/edt), Juckeland, Guido. (Editor, http://id.loc.gov/vocabulary/relators/edt), Ltaief, Hatem. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:Theoretical Computer Science and General Issues ; 12321
Subjects:
Computer organization.
Application software.
Artificial intelligence.
Computers.
Software engineering.
Computer Systems Organization and Communication Networks.
Computer Applications.
Artificial Intelligence.
Computing Milieux.
Information Systems and Communication Service.
Software Engineering/Programming and Operating Systems.
Online Access:https://doi.org/10.1007/978-3-030-59851-8
Table of Contents:
  • Checking and Performance Optimization for HPC (C3PO'20)
  • Compiler-assisted type-safe checkpointing
  • Static analysis to enhance programmability and performance in OmpSs-2 21 Automatic detection of MPI assertions
  • Automatic Code Motion to Extend MPI Nonblocking Overlap Window
  • First International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics Simulations and Analysis (CFDML) .-Complete Deep Computer-Vision Methodology for Investigating Hydrodynamic Instabilities
  • Prediction of Acoustic Fields using a Lattice-Boltzmann Method and Deep Learning
  • Unsupervised Learning of Particle Image Velocimetry
  • Reduced order modeling of dynamical systems using arti cial neural networks applied to water circulation
  • Parameter Identification of RANS turbulence model using Physics-embedded neural network
  • Investigating the Overhead of the REST Protocol when Using Cloud Services for HPC Storage
  • Characterizing I/O Optimization E ect Through Holistic Log Data Analysis of Parallel File Systems and Interconnects
  • The Importance of Temporal Behavior when Classifying Job IO Patterns Using Machine Learning Techniques
  • GOPHER, an HPC framework for large scale graph exploration and inference
  • Ensembles of Networks Produced from Neural Architecture Search
  • SmartPred: Unsupervised Hard Disk Failure Detection
  • Application IO analysis with Lustre Monitoring using LASSi for ARCHER
  • Characterizing HPC Performance Variation with Monitoring and Unsupervised Learning
  • Service Function Chaining Based on Segment Routing Using P4 and SR-IOV (P4-SFC)
  • Seamlessly managing HPC workloads through Kubernetes
  • Interference-aware Orchestration in Kubernetes
  • RustyHermit: A Scalable, Rust-based Virtual Execution Environment
  • Rootless Containers with Podman for HPC
  • Bioinformatics application with Kube ow for batch processing in clouds
  • Converging HPC, Big Data and Cloud technologies for precision agriculture data analytics on supercomputers.

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