In Situ Visualization for Computational Science

Hank Childs, Janine C. Bennett, Christoph Garth

Springer Nature, May 4, 2022 - Mathematics - 460 pages

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.

Contents

• Background and Foundational Topics: 1
• 22pt Data Reduction Techniques: 9
• Sampling for Scientific Data Analysis and Reduction: 10
• In Situ Wavelet Compression on Supercomputers for Post Hoc Exploration: 37
• In Situ Statistical DistributionBased Data Summarization and Visual Analysis: 61
• Exploratory TimeDependent Flow Visualization via In Situ Extracted Lagrangian Representations: 91
• 22pt Workflows and Scheduling: 110
• Unlocking Large Scale Uncertainty Quantification with In Transit Iterative Statistics: 113
• Decoupled Dataflows for In Situ Workflows: 137
• Design Impacts and TradeOffs: 159
• ResourceAware Optimal Scheduling of In Situ Analysis: 183
• 22pt Tools: 203
• Leveraging Production Visualization Tools In Situ: 204
• The Adaptable IO System ADIOS: 233
• A Flyweight In Situ Library for Exascale Simulations: 255
• Tool and Processing Portability at Scale: 280
• In Situ Solutions with CinemaScience: 307
• 22pt New Research Results and Looking Forward: 329
• Deep LearningBased Upscaling for In Situ Volume Visualization: 331
• Scalable CPU Ray Tracing for In Situ Visualization Using OSPRay: 353
• Multivariate Functional Approximation of Scientific Data: 375
• A SimulationOblivious Data Transport Model for Flexible In Transit Visualization: 398
• Distributed Multitenant In Situ Analysis Using Galaxy: 421
• Proximity Portability and in Transit MtoN Data Partitioning and Movement in SENSEI: 439

Bibliographic information

• Title: In Situ Visualization for Computational Science; Mathematics and Visualization
• Editors: Hank Childs, Janine C. Bennett, Christoph Garth
• Publisher: Springer Nature, 2022
• ISBN: 3030816273, 9783030816278
• Length: 460 pages
• Subjects: Computers / Computer Science; Mathematics / Applied; Mathematics / Combinatorics; Mathematics / General; Mathematics / Graphic Methods