LEADER 04551nam 22005895 450 001 9910568253203321 005 20251113185614.0 010 $a3-030-81627-3 024 7 $a10.1007/978-3-030-81627-8 035 $a(MiAaPQ)EBC6977412 035 $a(Au-PeEL)EBL6977412 035 $a(CKB)22046312400041 035 $a(PPN)269155066 035 $a(OCoLC)1315646046 035 $a(DE-He213)978-3-030-81627-8 035 $a(EXLCZ)9922046312400041 100 $a20220504d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIn Situ Visualization for Computational Science /$fedited by Hank Childs, Janine C. Bennett, Christoph Garth 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (464 pages) 225 1 $aMathematics and Visualization,$x2197-666X 311 08$aPrint version: Childs, Hank In Situ Visualization for Computational Science Cham : Springer International Publishing AG,c2022 9783030816261 320 $aIncludes bibliographical references. 327 $aIn 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. 330 $aThis book provides an overview of the emerging field of in situ visualization, i.e. visualizing simulation data as it is generated. In situ visualization is a processing paradigm in response to recent trends in the development of high-performance computers. It has great promise in its ability to access increased temporal resolution and leverage extensive computational power. However, the paradigm also is widely viewed as limiting when it comes to exploration-oriented use cases. Furthermore, it will require visualization systems to become increasingly complex and constrained in usage. As research efforts on in situ visualization are growing, the state of the art and best practices are rapidly maturing. Specifically, this book contains chapters that reflect state-of-the-art research results and best practices in the area of in situ visualization. Our target audience are researchers and practitioners from the areas of mathematics computational science, high-performance computing, and computer science that work on or with in situ techniques, or desire to do so in future. . 410 0$aMathematics and Visualization,$x2197-666X 606 $aInformation visualization 606 $aMathematics$xData processing 606 $aData and Information Visualization 606 $aComputational Science and Engineering 615 0$aInformation visualization. 615 0$aMathematics$xData processing. 615 14$aData and Information Visualization. 615 24$aComputational Science and Engineering. 676 $a001.4226 676 $a006.60151 702 $aChilds$b Hank 702 $aBennett$b Janine 702 $aGarth$b Christoph 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910568253203321 996 $aIn situ visualization for computational science$92986616 997 $aUNINA