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High performance computing = ISC High Performance 2020 International Workshops, Frankfurt, Germany, June 21-25, 2020 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	High performance computing/ edited by Heike Jagode ... [et al.].
Reminder of title:	ISC High Performance 2020 International Workshops, Frankfurt, Germany, June 21-25, 2020 : revised selected papers /
other author:	Jagode, Heike.
corporate name:	ISC High Performance (Conference)
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xi, 382 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	High performance computing - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-59851-8
ISBN:	9783030598518

High performance computing = ISC High Performance 2020 International Workshops, Frankfurt, Germany, June 21-25, 2020 : revised selected papers /
High performance computingISC High Performance 2020 International Workshops, Frankfurt, Germany, June 21-25, 2020 : revised selected papers /[electronic resource] :edited by Heike Jagode ... [et al.]. - Cham :Springer International Publishing :2020. - xi, 382 p. :ill., digital ;24 cm. - Lecture notes in computer science,123210302-9743 ;. - Lecture notes in computer science ;12321..

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.

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 International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics Simulations and Analysis (CFDML); HPC I/O in the Data Center Workshop (HPC-IODC); First Workshop \Machine Learning on HPC Systems" (MLHPCS); First International Workshop on Monitoring and Data Analytics (MODA); 15th Workshop on Virtualization in High-Performance Cloud Computing (VHPC) The 25 full papers included in this volume were carefully reviewed and selected. They cover all aspects of research, development, and application of large-scale, high performance experimental and commercial systems. Topics include high-performance computing (HPC), computer architecture and hardware, programming models, system software, performance analysis and modeling, compiler analysis and optimization techniques, software sustainability, scientific applications, deep learning.

ISBN: 9783030598518

Standard No.: 10.1007/978-3-030-59851-8doiSubjects--Topical Terms:

713628
High performance computing
--Congresses.

LC Class. No.: QA76.88 / .I83 2020

Dewey Class. No.: 004.11

High performance computing = ISC High Performance 2020 International Workshops, Frankfurt, Germany, June 21-25, 2020 : revised selected papers /
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520 $a 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 International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics Simulations and Analysis (CFDML); HPC I/O in the Data Center Workshop (HPC-IODC); First Workshop \Machine Learning on HPC Systems" (MLHPCS); First International Workshop on Monitoring and Data Analytics (MODA); 15th Workshop on Virtualization in High-Performance Cloud Computing (VHPC) The 25 full papers included in this volume were carefully reviewed and selected. They cover all aspects of research, development, and application of large-scale, high performance experimental and commercial systems. Topics include high-performance computing (HPC), computer architecture and hardware, programming models, system software, performance analysis and modeling, compiler analysis and optimization techniques, software sustainability, scientific applications, deep learning.
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