Titlebook: In Situ Visualization for Computational Science; Hank Childs,Janine C. Bennett,Christoph Garth Conference proceedings 2022 The Editor(s) (

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The Adaptable IO System (ADIOS)ucing and consuming data through different mediums (storage, memory, network) for various application scenarios. ADIOS engines exist to write/read files on a storage system, to couple independent simulations together or to stream data from a simulation to analysis and visualization tools via the com

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Ascent: A Flyweight In Situ Library for?Exascale Simulationsary’s focal points: minimizing encumbrance on simulation codes and enabling diverse and powerful capabilities. The chapter then describes Ascent’s abstractions, interface, and design. It concludes with success stories that highlight its capabilities: in situ visualization of a 97.8 billion element i

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In Situ Solutions with CinemaSciencend hybrid approaches for data processing. With data extracts that include metadata, images, meshes, and other data types, Cinema databases generated in situ are a central component of post hoc analysis workflows. These workflows support visualization and exploration of data, verification and validat

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Deep Learning-Based Upscaling for In Situ Volume Visualization recently emerged as an interesting approach that can supplement existing in situ volume visualization techniques. By upscaling we mean the spatial or temporal reconstruction of a signal from a reduced representation that requires less memory to store and sometimes even less time to generate. The co

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Ayan Biswas,Soumya Dutta,Terece L. Turton,James Ahrense keywords. A user is satisfied if it finds the item of its choice and the system benefits, otherwise the user explores an item from the recommended list. Usually when the user explores an item, it picks an item that is nearest to its interest from the list. While the user explores an item, the syst

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Shaomeng Li,John Clyne,Hank Childs partition being controlled by a single physical controller, running all SDN applications. However, topological partitioning is limited by the fact that (i) performance of latency-sensitive (e.g., monitoring) SDN applications associated with a given partition may be impacted by co-located compute-in