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201103 ||| eng |
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|a 9783030598518
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|a Jagode, Heike
|e [editor]
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| 245 |
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|a High Performance Computing
|h Elektronische Ressource
|b ISC High Performance 2020 International Workshops, Frankfurt, Germany, June 21–25, 2020, Revised Selected Papers
|c edited by Heike Jagode, Hartwig Anzt, Guido Juckeland, Hatem Ltaief
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|a 1st ed. 2020
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2020, 2020
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| 300 |
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|a XI, 382 p. 181 illus., 104 illus. in color
|b online resource
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|a Characterizing I/O Optimization E ect Through Holistic LogData 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 --
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|a Converging HPC, Big Data and Cloud technologies for precision agriculture data analytics on supercomputers
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|a 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 --
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|a Computer Communication Networks
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|a Software engineering
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|a Software Engineering
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|a Artificial Intelligence
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|a Computers
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| 653 |
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|a Application software
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|a Computer networks
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|a Computer Engineering and Networks
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|a Artificial intelligence
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|a Computer engineering
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| 653 |
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|a Computer and Information Systems Applications
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| 653 |
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|a Computing Milieux
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| 700 |
1 |
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|a Anzt, Hartwig
|e [editor]
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| 700 |
1 |
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|a Juckeland, Guido
|e [editor]
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| 700 |
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|a Ltaief, Hatem
|e [editor]
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a Theoretical Computer Science and General Issues
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| 028 |
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|a 10.1007/978-3-030-59851-8
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| 856 |
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|u https://doi.org/10.1007/978-3-030-59851-8?nosfx=y
|x Verlag
|3 Volltext
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|a 004.6
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|a 621.39
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|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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