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In Situ Visualization for Computational Science

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Cover of 'In Situ Visualization for Computational Science'

Table of Contents

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    Book Overview
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    Chapter 1 In Situ Visualization for Computational Science: Background and Foundational Topics
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    Chapter 2 Sampling for Scientific Data Analysis and Reduction
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    Chapter 3 In Situ Wavelet Compression on Supercomputers for Post Hoc Exploration
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    Chapter 4 In Situ Statistical Distribution-Based Data Summarization and Visual Analysis
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    Chapter 5 Exploratory Time-Dependent Flow Visualization via In Situ Extracted Lagrangian Representations
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    Chapter 6 Unlocking Large Scale Uncertainty Quantification with In Transit Iterative Statistics
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    Chapter 7 Decaf: Decoupled Dataflows for In Situ Workflows
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    Chapter 8 Parameter Adaptation In Situ: Design Impacts and Trade-Offs
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    Chapter 9 Resource-Aware Optimal Scheduling of In Situ Analysis
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    Chapter 10 Leveraging Production Visualization Tools In Situ
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    Chapter 11 The Adaptable IO System (ADIOS)
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    Chapter 12 Ascent: A Flyweight In Situ Library for Exascale Simulations
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    Chapter 13 The SENSEI Generic In Situ Interface: Tool and Processing Portability at Scale
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    Chapter 14 In Situ Solutions with CinemaScience
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    Chapter 15 Deep Learning-Based Upscaling for In Situ Volume Visualization
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    Chapter 16 Scalable CPU Ray Tracing for In Situ Visualization Using OSPRay
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    Chapter 17 Multivariate Functional Approximation of Scientific Data
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    Chapter 18 A Simulation-Oblivious Data Transport Model for Flexible In Transit Visualization
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    Chapter 19 Distributed Multi-tenant In Situ Analysis Using Galaxy
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    Chapter 20 Proximity Portability and in Transit , M-to-N Data Partitioning and Movement in SENSEI
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Title
In Situ Visualization for Computational Science
Published by
Springer International Publishing, March 2022
DOI 10.1007/978-3-030-81627-8
ISBNs
978-3-03-081626-1, 978-3-03-081627-8
Editors

Childs, Hank, Bennett, Janine C., Garth, Christoph

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