| 청구기호 |
QA76.9.I52 |
| 판사항 |
1st ed. 2022.
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| 형태사항 |
XV, 460 p. 201 illus., 184 illus. in color. online resource.
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| 총서명 |
Mathematics and Visualization, 2197-666X
|
| 언어 |
English |
| 내용 |
In Situ Visualization for Computational Science: Background and Foundational Topics -- Data Reduction Techniques -- Sampling for Scientific Data Analysis and Reduction -- In Situ Wavelet Compression on Supercomputers for Post Hoc Exploration -- In Situ Statistical Distribution-based Data Summarization and Visual Analysis -- Exploratory Time-Dependent Flow Visualization via In Situ Extracted Lagrangian Representations -- Workflows and Scheduling -- Unlocking Large Scale Uncertainty Quantification with In Transit Iterative Statistics -- Decaf: Decoupled Dataflows for In Situ Workflows -- Parameter Adaptation In Situ: Design Impacts and Trade-offs -- Resource-aware Optimal Scheduling of In Situ Analysis -- Tools -- Leveraging Production Visualization Tools In Situ -- The Adaptable IO System (ADIOS) -- Ascent: A Flyweight In Situ Library for Exascale Simulations -- The SENSEI Generic In Situ Interface: Tool and Processing Portability at Scale -- In Situ Solutions with CinemaScience -- New Research Results and Looking Forward -- Deep Learning-based Upscaling for In Situ Volume Visualization -- Scalable CPU Ray Tracing for In Situ Visualization Using OSPRay -- Multivariate Functional Approximation of Scientific Data -- A Simulation-Oblivious Data Transport Model for Flexible In Transit Visualization -- Distributed Multi-tenant In Situ Analysis using Galaxy -- Proximity Portability and In Transit, M-to-N Data Partitioning and Movement in SENSEI.
|
| 주제 |
Information visualization.
Mathematics—Data processing.
Data and Information Visualization.
Computational Science and Engineering.
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| 보유판 및 특별호 저록 |
Springer Nature eBook
Printed edition: 9783030816261
Printed edition: 9783030816285
Printed edition: 9783030816292
|
| ISBN |
9783030816278 |
| 기타 표준번호 |
10.1007/978-3-030-81627-8 |
| QR CODE |
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