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Title: ParaView Catalyst: Enabling In Situ Data Analysis and Visualization

Journal Article · · ISAV2015: Proceedings of the First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
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  1. Kitware, Inc., Clifton Park, NY (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
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Computer simulations are growing in sophistication and producing results of ever greater fidelity. This trend has been enabled by advances in numerical methods and increasing computing power. 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. Interactive visualization tools, like ParaView, have been used for post-processing of simulation results. However, the increasing data sizes, and limited storage and bandwidth make high fidelity post-processing impractical. In situ analysis is recognized as one of the ways to address these challenges. 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. ParaView Catalyst is a data processing and visualization library that enables in situ analysis and visualization. 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. Here, we provide an overview of the Catalyst framework and some of the success stories.

Research Organization:
Kitware, Inc., Clifton Park, NY (United States)
Sponsoring Organization:
USDOE Office of Nuclear Energy (NE); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR). Scientific Discovery through Advanced Computing (SciDAC)
Grant/Contract Number:
SC0012037
OSTI ID:
1595008
Journal Information:
ISAV2015: Proceedings of the First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, Vol. 2015; Conference: 27. International Conference for High Performance Computing, Networking, Storage and Analysis, Austin, TX (United States), 15-20 Nov 2018
Publisher:
Association for Computing MachineryCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (12)

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On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective text January 2017
In-Situ Visualization with Membrane Layer for Movie-Based Visualization
  • Yamamoto, Kohei; Kageyama, Akira; Rodrigues, João M. F.
  • Computational Science – ICCS 2019: 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part V, p. 588-594 https://doi.org/10.1007/978-3-030-22750-0_55
book June 2019
GEYSER: 3D thermo-hydrodynamic reactive transport numerical simulator including porosity and permeability evolution using GPU clusters journal September 2019
An In-Situ Visualization Approach for the K Computer Using Mesa 3D and KVS book January 2019
The ALPINE In Situ Infrastructure: Ascending from the Ashes of Strawman
  • Larsen, Matthew; Ahrens, James; Ayachit, Utkarsh
  • Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization - ISAV'17 https://doi.org/10.1145/3144769.3144778
conference January 2017
In situ visualization and data analysis for turbidity currents simulation journal January 2018
Progressive Wasserstein Barycenters of Persistence Diagrams journal January 2019
High-Performance Agent-Based Modeling Applied to Vocal Fold Inflammation and Repair journal April 2018
Interactive Geometry Modification of High Performance Finite Element Simulations preprint January 2020
Abelian-Higgs cosmic string evolution with multiple GPUs preprint January 2020
SAVIME: An Array DBMS for Simulation Analysis and ML Models Prediction journal February 2021

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