TY - GEN
T1 - ParaView catalyst
T2 - 1st International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, ISAV 2015
AU - Ayachit, Utkarsh
AU - Bauer, Andrew
AU - Geveci, Berk
AU - O'Leary, Patrick
AU - Moreland, Kenneth
AU - Fabian, Nathan
AU - Mauldin, Jeffrey
N1 - Publisher Copyright:
© 2015 ACM.
PY - 2015/11/15
Y1 - 2015/11/15
N2 - 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. Yet 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 postprocessing 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. In this paper, we provide an overview of the Catalyst framework and some of the success stories.
AB - 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. Yet 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 postprocessing 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. In this paper, we provide an overview of the Catalyst framework and some of the success stories.
UR - https://www.scopus.com/pages/publications/84982861798
U2 - 10.1145/2828612.2828624
DO - 10.1145/2828612.2828624
M3 - Conference contribution
AN - SCOPUS:84982861798
T3 - Proceedings of ISAV 2015: 1st International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, Held in conjunction with SC 2015: The International Conference for High Performance Computing, Networking, Storage and Analysis
SP - 25
EP - 29
BT - Proceedings of ISAV 2015
PB - Association for Computing Machinery, Inc
Y2 - 16 November 2015
ER -