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High Performance Computing : ISC High Performance 2020 International Workshops, Frankfurt, Germany, June 21-25, 2020, Revised Selected Papers / edited by Heike Jagode, Hartwig Anzt, Guido Juckeland, Hatem Ltaief.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 12321
- Theoretical Computer Science and General Issues, 2512-2029 ; 12321
- Language:
- English
- Subjects (All):
- Computer engineering.
- Computer networks.
- Application software.
- Artificial intelligence.
- Computers.
- Software engineering.
- Computer Engineering and Networks.
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Computing Milieux.
- Computer Communication Networks.
- Software Engineering.
- Local Subjects:
- Computer Engineering and Networks.
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Computing Milieux.
- Computer Communication Networks.
- Software Engineering.
- Physical Description:
- 1 online resource (XI, 382 pages) : 181 illustrations, 104 illustrations in color.
- Edition:
- 1st ed. 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- 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.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-59851-8
- 9783030598518
- Access Restriction:
- Restricted for use by site license.
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