In Situ Visualization for Computational Science
portes grátis
In Situ Visualization for Computational Science
Bennett, Janine C.; Garth, Christoph; Childs, Hank
Springer Nature Switzerland AG
05/2022
460
Dura
Inglês
9783030816261
15 a 20 dias
875
Descrição não disponível.
?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.- Work?ows 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.
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in situ visualization;scientific visualization;high performance computing;computational science;data reductions
?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.- Work?ows 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
