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E-raamat: In Situ Visualization for Computational Science

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  • Formaat: EPUB+DRM
  • Sari: Mathematics and Visualization
  • Ilmumisaeg: 04-May-2022
  • Kirjastus: Springer Nature Switzerland AG
  • Keel: eng
  • ISBN-13: 9783030816278
  • Formaat - EPUB+DRM
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  • Formaat: EPUB+DRM
  • Sari: Mathematics and Visualization
  • Ilmumisaeg: 04-May-2022
  • Kirjastus: Springer Nature Switzerland AG
  • Keel: eng
  • ISBN-13: 9783030816278

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This book provides an overview of the emerging field of in situ visualization, i.e. visualizing simulation data as it is generated. In situ visualization is a processing paradigm in response to recent trends in the development of high-performance computers. It has great promise in its ability to access increased temporal resolution and leverage extensive computational power. However, the paradigm also is widely viewed as limiting when it comes to exploration-oriented use cases. Furthermore, it will require visualization systems to become increasingly complex and constrained in usage. As research efforts on in situ visualization are growing, the state of the art and best practices are rapidly maturing.

Specifically, this book contains chapters that reflect state-of-the-art research results and best practices in the area of in situ visualization. Our target audience are researchers and practitioners from the areas of mathematics computational science, high-performance computing, and computer science that work on or with in situ techniques, or desire to do so in future. 



In Situ Visualization for Computational Science: Background and Foundational Topics
1(10)
Hank Childs
Janine C. Bennett
Christoph Garth
Data Reduction Techniques
Sampling for Scientific Data Analysis and Reduction
11(26)
Ayan Biswas
Soumya Dutta
Terece L. Turton
James Ahrens
In Situ Wavelet Compression on Supercomputers for Post Hoc Exploration
37(24)
Shaomeng Li
John Clyne
Hank Childs
In Situ Statistical Distribution-Based Data Summarization and Visual Analysis
61(30)
Soumya Dutta
Subhashis Hazarika
Han-Wei Shen
Exploratory Time-Dependent Flow Visualization via In Situ Extracted Lagrangian Representations
91(22)
Sudhanshu Sane
Hank Childs
Workflows and Scheduling
Unlocking Large Scale Uncertainty Quantification with In Transit Iterative Statistics
113(24)
Alejandro Ribes
Theophile Terraz
Yvan Fournier
Bertrand Iooss
Bruno Raffin
Decaf: Decoupled Dataflows for In Situ Workflows
137(22)
Orcun Yildiz
Matthieu Dreher
Tom Peterka
Parameter Adaptation In Situ: Design Impacts and Trade-Offs
159(24)
Steffen Frey
Valentin Bruder
Florian Frieb
Patrick Gralka
Tobias Rau
Thomas Ertl
Guido Reina
Resource-Aware Optimal Scheduling of In Situ Analysis
183(22)
Preeti Malakar
Venkatram Vishwanath
Christopher Knight
Todd Munson
Michael E. Papka
Tools
Leveraging Production Visualization Tools In Situ
205(28)
Kenneth Moreland
Andrew C. Bauer
Berk Geveci
Patrick O'Leary
Brad Whitlock
The Adaptable IO System (ADIOS)
233(22)
David Pugmire
Norbert Podhorszki
Scott Klasky
Matthew Wolf
James Kress
Mark Kim
Nicholas Thompson
Jeremy Logan
Ruonan Wang
Kshitij Mehta
Eric Suchyta
William Godoy
Jong Choi
George Ostrouchov
Lipeng Wan
Jieyang Chen
Berk Geveci Chuck Atkins
Caitlin Ross
Greg Eisenhauer
Junmin Gu
John Wu
Axel Huebl
Seiji Tsutsumi
Ascent: A Flyweight In Situ Library for Exascale Simulations
255(26)
Matthew Larsen
Eric Brugger
Hank Childs
Cyrus Harrison
The SENSEI Generic In Situ Interface: Tool and Processing Portability at Scale
281(26)
E. Wes Bethel
Burlen Loring
Utkarsh Ayachit
David Camp
Earl P. N. Duque
Nicola Ferrier
Joseph Insley
Junmin Gu
James Kress
Patrick O'Leary
David Pugmire
Silvio Rizzi
David Thompson
Gunther H. Weber
Brad Whitlock
Matthew Wolf
Kesheng Wu
In Situ Solutions with CinemaScience
307(24)
David H. Rogers
Soumya Dutta
Divya Banesh
Terece L. Turton
Ethan Stam
James Ahrens
New Research Results and Looking Forward
Deep Learning-Based Upscaling for In Situ Volume Visualization
331(22)
Sebastian Weiss
Jun Han
Chaoli Wang
Rudiger Westermann
Scalable CPU Ray Tracing for In Situ Visualization Using OSPRay
353(22)
Will Usher
Jefferson Amstutz
Johannes Gunther
Aaron Knoll
Gregory P. Johnson
Carson Brownlee
Alok Hota
Bruce Chemiak
Tim Rowley
Jim Jeffers
Valerio Pascucci
Multivariate Functional Approximation of Scientific Data
375(24)
Tom Peterka
Youssef Nashed
Iulian Grindeanu
Vijay Mahadevan
Raine Yeh
David Lenz
A Simulation-Oblivious Data Transport Model for Flexible In Transit Visualization
399(22)
Will Usher
Hyungman Park
Myoungkyu Lee
Paul Navratil
Donald Fussell
Valerio Pascucci
Distributed Multi-tenant In Situ Analysis Using Galaxy
421(18)
Greg Abram
Paul Navratil
David Rogers
James Ahrens
Proximity Portability and in Transit, M-to-N Data Partitioning and Movement in SENSEI
439
E. Wes Bethel
Burlen Loring
Utkarsh Ayachit
Earl P. N. Duque
Nicola Ferrier
Joseph Insley
Junmin Gu
James Kress
Patrick O'Leary
Dave Pugmire
Silvio Rizzi
David Thompson
Will Usher
Gunther H. Weber
Brad Whitlock
Matthew Wolf
Kesheng Wu