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High Performance Computing

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Cover of 'High Performance Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Compiler-Assisted Type-Safe Checkpointing
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    Chapter 2 Static Analysis to Enhance Programmability and Performance in OmpSs-2
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    Chapter 3 Automatic Detection of MPI Assertions
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    Chapter 4 Automatic Code Motion to Extend MPI Nonblocking Overlap Window
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    Chapter 5 Complete Deep Computer-Vision Methodology for Investigating Hydrodynamic Instabilities
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    Chapter 6 Prediction of Acoustic Fields Using a Lattice-Boltzmann Method and Deep Learning
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    Chapter 7 Unsupervised Learning of Particle Image Velocimetry
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    Chapter 8 Reduced Order Modeling of Dynamical Systems Using Artificial Neural Networks Applied to Water Circulation
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    Chapter 9 Parameter Identification of RANS Turbulence Model Using Physics-Embedded Neural Network
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    Chapter 10 Investigating the Overhead of the REST Protocol When Using Cloud Services for HPC Storage
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    Chapter 11 Characterizing I/O Optimization Effect Through Holistic Log Data Analysis of Parallel File Systems and Interconnects
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    Chapter 12 The Importance of Temporal Behavior When Classifying Job IO Patterns Using Machine Learning Techniques
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    Chapter 13 GOPHER, an HPC Framework for Large Scale Graph Exploration and Inference
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    Chapter 14 Ensembles of Networks Produced from Neural Architecture Search
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    Chapter 15 SmartPred: Unsupervised Hard Disk Failure Detection
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    Chapter 16 Application IO Analysis with Lustre Monitoring Using LASSi for ARCHER
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    Chapter 17 AI-Driven Holistic Approach to Energy Efficient HPC
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    Chapter 18 Characterizing HPC Performance Variation with Monitoring and Unsupervised Learning
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    Chapter 19 Service Function Chaining Based on Segment Routing Using P4 and SR-IOV (P4-SFC)
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    Chapter 20 Seamlessly Managing HPC Workloads Through Kubernetes
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    Chapter 21 Interference-Aware Orchestration in Kubernetes
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    Chapter 22 RustyHermit: A Scalable, Rust-Based Virtual Execution Environment
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    Chapter 23 Rootless Containers with Podman for HPC
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    Chapter 24 Bioinformatics Application with Kubeflow for Batch Processing in Clouds
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    Chapter 25 Converging HPC, Big Data and Cloud Technologies for Precision Agriculture Data Analytics on Supercomputers
Attention for Chapter 16: Application IO Analysis with Lustre Monitoring Using LASSi for ARCHER
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Chapter title
Application IO Analysis with Lustre Monitoring Using LASSi for ARCHER
Chapter number 16
Book title
High Performance Computing
Published by
Springer, Cham, October 2020
DOI 10.1007/978-3-030-59851-8_16
Book ISBNs
978-3-03-059850-1, 978-3-03-059851-8

Karthee Sivalingam, Harvey Richardson, Sivalingam, Karthee, Richardson, Harvey

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Researcher 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Sports and Recreations 1 33%
Chemistry 1 33%