International Conference for High Performance Computing, Networking, Storage and Analysis, Austin, TX (United States), 15- Publisher: Association for Computing Machinery Country of Publication: United States Language: English Subject: 97 MATHEMATICS AND =, number = ,Ī previous paper described some numerical experiments performed using the ParaView/Catalyst in-situ visualization infrastructure deployed in the Los Alamos RAGE radiation-hydrodynamics code to produce images from a running large scale 3D ICF simulation. Scientific Discovery through Advanced Computing (SciDAC) OSTI Identifier: 1595008 Grant/Contract Number: SC0012037 Resource Type: Journal Article: Accepted Manuscript Journal Name: ISAV2015: Proceedings of the First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization Additional Journal Information: Journal Volume: 2015 Conference: 27. Publication Date: Research Org.: Kitware, Inc., Clifton Park, NY (United States) Sponsoring Org.: USDOE Office of Nuclear Energy (NE) USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR). (SNL-NM), Albuquerque, NM (United States) Kitware, Inc., Clifton Park, NY (United States).Here, we provide an overview of the Catalyst framework and some of the success stories. Built on and designed to interoperate with the standard visualization toolkit VTK and the ParaView application, Catalyst enables simulations to intelligently perform analysis, generate relevant output data, and visualize results concurrent with a running simulation. ParaView Catalyst is a data processing and visualization library that enables in situ analysis and visualization. In situ analysis moves some of the post-processing tasks in line with the simulation code thus short circuiting the need to communicate the data between the simulation and analysis via storage. In situ analysis is recognized as one of the ways to address these challenges. However, the increasing data sizes, and limited storage and bandwidth make high fidelity post-processing impractical. Interactive visualization tools, like ParaView, have been used for post-processing of simulation results. However these advances come with several costs including massive increases in data size, difficulties examining output data, challenges in configuring simulation runs, and difficulty debugging running codes. This trend has been enabled by advances in numerical methods and increasing computing power. Computer simulations are growing in sophistication and producing results of ever greater fidelity.
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