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Title: XVis: Visualization for the Extreme-Scale Scientific Computation Ecosystem, Final Report

Abstract

Scientific computing is 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. The XVis 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. This report reviews the accomplishments of the XVis project to prepare scientific visualization for Exascale computing.

Authors:
; ; ;  [1]; ;
  1. University of Oregon
Publication Date:
Research Org.:
Univ. of Oregon, Eugene, OR (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1547341
Report Number(s):
DOE-UOREGON-0012380​
DOE Contract Number:  
SC0012380
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; scientific visualization; many-core architectures; portable performance; visualization toolkits; visualization systems

Citation Formats

Moreland, Ken, Pugmire, David, Rogers, David, Childs, Hank, Ma, Kwan-Liu, and Geveci, Berk. XVis: Visualization for the Extreme-Scale Scientific Computation Ecosystem, Final Report. United States: N. p., 2019. Web. doi:10.2172/1547341.
Moreland, Ken, Pugmire, David, Rogers, David, Childs, Hank, Ma, Kwan-Liu, & Geveci, Berk. XVis: Visualization for the Extreme-Scale Scientific Computation Ecosystem, Final Report. United States. doi:10.2172/1547341.
Moreland, Ken, Pugmire, David, Rogers, David, Childs, Hank, Ma, Kwan-Liu, and Geveci, Berk. Wed . "XVis: Visualization for the Extreme-Scale Scientific Computation Ecosystem, Final Report". United States. doi:10.2172/1547341. https://www.osti.gov/servlets/purl/1547341.
@article{osti_1547341,
title = {XVis: Visualization for the Extreme-Scale Scientific Computation Ecosystem, Final Report},
author = {Moreland, Ken and Pugmire, David and Rogers, David and Childs, Hank and Ma, Kwan-Liu and Geveci, Berk},
abstractNote = {Scientific computing is 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. The XVis 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. This report reviews the accomplishments of the XVis project to prepare scientific visualization for Exascale computing.},
doi = {10.2172/1547341},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {8}
}