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Title: XVis: Visualization for the Extreme-Scale Scientific-Computation Ecosystem. Mid-year report FY16 Q2

Abstract

The XVis project brings together the key elements of research to enable scientific discovery at extreme scale. Scientific computing will no longer be purely about how fast computations can be performed. Energy constraints, processor changes, and I/O limitations necessitate significant changes in both the software applications used in scientific computation and the ways in which scientists use them. Components for modeling, simulation, analysis, and visualization must work together in a computational ecosystem, rather than working independently as they have in the past. This project provides the necessary research and infrastructure for scientific discovery in this new computational ecosystem by addressing four interlocking challenges: emerging processor technology, in situ integration, usability, and proxy analysis.

Authors:
 [1];  [2];  [3];  [4];  [5];  [6]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  3. Univ. of Oregon, Eugene, OR (United States)
  4. Univ. of California, Davis, CA (United States)
  5. Kitware, Inc., Clifton Park, NY (United Sates)
  6. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1257617
Report Number(s):
SAND2016-4942R
640726
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Moreland, Kenneth D., Sewell, Christopher, Childs, Hank, Ma, Kwan-Liu, Geveci, Berk, and Meredith, Jeremy. XVis: Visualization for the Extreme-Scale Scientific-Computation Ecosystem. Mid-year report FY16 Q2. United States: N. p., 2016. Web. doi:10.2172/1257617.
Moreland, Kenneth D., Sewell, Christopher, Childs, Hank, Ma, Kwan-Liu, Geveci, Berk, & Meredith, Jeremy. XVis: Visualization for the Extreme-Scale Scientific-Computation Ecosystem. Mid-year report FY16 Q2. United States. doi:10.2172/1257617.
Moreland, Kenneth D., Sewell, Christopher, Childs, Hank, Ma, Kwan-Liu, Geveci, Berk, and Meredith, Jeremy. Sun . "XVis: Visualization for the Extreme-Scale Scientific-Computation Ecosystem. Mid-year report FY16 Q2". United States. doi:10.2172/1257617. https://www.osti.gov/servlets/purl/1257617.
@article{osti_1257617,
title = {XVis: Visualization for the Extreme-Scale Scientific-Computation Ecosystem. Mid-year report FY16 Q2},
author = {Moreland, Kenneth D. and Sewell, Christopher and Childs, Hank and Ma, Kwan-Liu and Geveci, Berk and Meredith, Jeremy},
abstractNote = {The XVis project brings together the key elements of research to enable scientific discovery at extreme scale. Scientific computing will no longer be purely about how fast computations can be performed. Energy constraints, processor changes, and I/O limitations necessitate significant changes in both the software applications used in scientific computation and the ways in which scientists use them. Components for modeling, simulation, analysis, and visualization must work together in a computational ecosystem, rather than working independently as they have in the past. This project provides the necessary research and infrastructure for scientific discovery in this new computational ecosystem by addressing four interlocking challenges: emerging processor technology, in situ integration, usability, and proxy analysis.},
doi = {10.2172/1257617},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {5}
}

Technical Report:

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