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  • Produktbild: High Performance Computing
Band 12321

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

Aus der Reihe Theoretical Computer Science and General Issues

69,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.10.2020

Abbildungen

XI, 382 p. 181 illus., 104 illus. in color.

Herausgeber

Heike Jagode + weitere

Verlag

Springer

Seitenzahl

382

Maße (L/B/H)

23,5/15,5/2,2 cm

Gewicht

598 g

Auflage

1st ed. 2020

Sprache

Englisch

ISBN

978-3-030-59850-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.10.2020

Abbildungen

XI, 382 p. 181 illus., 104 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

382

Maße (L/B/H)

23,5/15,5/2,2 cm

Gewicht

598 g

Auflage

1st ed. 2020

Sprache

Englisch

ISBN

978-3-030-59850-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: High Performance Computing
  • Produktbild: High Performance Computing
  • 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 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.- Converging HPC, Big Data and Cloud technologies for precision agriculture data analytics on supercomputers.