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Title: Final Report: Award SN10041 DE-SC0012415

Abstract

In this project we considered a number of variants of parallel computations of data analysis and visualization techniques for large-scale simulations and their ensembles with the goal of achieving in situ analytics.

Authors:
 [1];  [1]
  1. University of Utah
Publication Date:
Research Org.:
Univeristy of Utah
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
Contributing Org.:
LANL
OSTI Identifier:
1557805
Report Number(s):
DOE-Utah-SC0012415
DOE Contract Number:  
SC0012415
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; In Situ Analysis; Visualization; High Performance Computing; Scalability

Citation Formats

Hansen, Charles, and Pascucci, Valerio. Final Report: Award SN10041 DE-SC0012415. United States: N. p., 2019. Web. doi:10.2172/1557805.
Hansen, Charles, & Pascucci, Valerio. Final Report: Award SN10041 DE-SC0012415. United States. doi:10.2172/1557805.
Hansen, Charles, and Pascucci, Valerio. Tue . "Final Report: Award SN10041 DE-SC0012415". United States. doi:10.2172/1557805. https://www.osti.gov/servlets/purl/1557805.
@article{osti_1557805,
title = {Final Report: Award SN10041 DE-SC0012415},
author = {Hansen, Charles and Pascucci, Valerio},
abstractNote = {In this project we considered a number of variants of parallel computations of data analysis and visualization techniques for large-scale simulations and their ensembles with the goal of achieving in situ analytics.},
doi = {10.2172/1557805},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {8}
}