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Title: In Situ Summarization with VTK-m

Abstract

Summarization and compression at current and future scales requires a framework for developing and benchmarking algorithms. We present a framework created by integrating existing, production-ready projects and provide timings of two particular algorithms that serve as exemplars for summarization: a wavelet-based data reduction filter and a generator for creating image-like databases of extracted features (isocontours in this case). Both support browser-based, post-hoc, interactive visualization of the summary for decision-making. A study of their weak-scaling on a distributed multi-GPU system is included in this article.

Authors:
 [1];  [1];  [1];  [1];  [1];  [2];  [1]
  1. Kitware, Inc., Clifton Park, NY (United States)
  2. North Carolina State Univ., Raleigh, NC (United States)
Publication Date:
Research Org.:
Kitware, Inc., Clifton Park, NY (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1594868
Grant/Contract Number:  
[SC0012037]
Resource Type:
Accepted Manuscript
Journal Name:
ISAV'17: Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization
Additional Journal Information:
[ Conference: ISAV'17: In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization, Denver, CO (United States), November 2017]
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; in-situ visualization; summarization; data reduction

Citation Formats

Thompson, David, Jourdain, Sebastien, Bauer, Andrew, Geveci, Berk, Maynard, Robert, Vatsavai, Ranga Raju, and O'Leary, Patrick. In Situ Summarization with VTK-m. United States: N. p., 2017. Web. doi:10.1145/3144769.3144777.
Thompson, David, Jourdain, Sebastien, Bauer, Andrew, Geveci, Berk, Maynard, Robert, Vatsavai, Ranga Raju, & O'Leary, Patrick. In Situ Summarization with VTK-m. United States. doi:10.1145/3144769.3144777.
Thompson, David, Jourdain, Sebastien, Bauer, Andrew, Geveci, Berk, Maynard, Robert, Vatsavai, Ranga Raju, and O'Leary, Patrick. Wed . "In Situ Summarization with VTK-m". United States. doi:10.1145/3144769.3144777. https://www.osti.gov/servlets/purl/1594868.
@article{osti_1594868,
title = {In Situ Summarization with VTK-m},
author = {Thompson, David and Jourdain, Sebastien and Bauer, Andrew and Geveci, Berk and Maynard, Robert and Vatsavai, Ranga Raju and O'Leary, Patrick},
abstractNote = {Summarization and compression at current and future scales requires a framework for developing and benchmarking algorithms. We present a framework created by integrating existing, production-ready projects and provide timings of two particular algorithms that serve as exemplars for summarization: a wavelet-based data reduction filter and a generator for creating image-like databases of extracted features (isocontours in this case). Both support browser-based, post-hoc, interactive visualization of the summary for decision-making. A study of their weak-scaling on a distributed multi-GPU system is included in this article.},
doi = {10.1145/3144769.3144777},
journal = {ISAV'17: Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {11}
}

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