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Title: Disruptive Innovation in Numerical Hydrodynamics

Abstract

We propose the research and development of a high-fidelity hydrodynamic algorithm for tetrahedral meshes that will lead to a disruptive innovation in the numerical modeling of Laboratory problems. Our proposed innovation has the potential to reduce turnaround time by orders of magnitude relative to Advanced Simulation and Computing (ASC) codes; reduce simulation setup costs by millions of dollars per year; and effectively leverage Graphics Processing Unit (GPU) and future Exascale computing hardware. If successful, this work will lead to a dramatic leap forward in the Laboratory's quest for a predictive simulation capability.

Authors:
 [1]
  1. Los Alamos National Laboratory
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
DOE/LANL
OSTI Identifier:
1050502
Report Number(s):
LA-UR-12-24563
TRN: US201218%%1030
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICAL METHODS AND COMPUTING; ALGORITHMS; DOLLARS; HYDRODYNAMICS; PROCESSING; SIMULATION

Citation Formats

Waltz, Jacob I. Disruptive Innovation in Numerical Hydrodynamics. United States: N. p., 2012. Web. doi:10.2172/1050502.
Waltz, Jacob I. Disruptive Innovation in Numerical Hydrodynamics. United States. https://doi.org/10.2172/1050502
Waltz, Jacob I. Thu . "Disruptive Innovation in Numerical Hydrodynamics". United States. https://doi.org/10.2172/1050502. https://www.osti.gov/servlets/purl/1050502.
@article{osti_1050502,
title = {Disruptive Innovation in Numerical Hydrodynamics},
author = {Waltz, Jacob I},
abstractNote = {We propose the research and development of a high-fidelity hydrodynamic algorithm for tetrahedral meshes that will lead to a disruptive innovation in the numerical modeling of Laboratory problems. Our proposed innovation has the potential to reduce turnaround time by orders of magnitude relative to Advanced Simulation and Computing (ASC) codes; reduce simulation setup costs by millions of dollars per year; and effectively leverage Graphics Processing Unit (GPU) and future Exascale computing hardware. If successful, this work will lead to a dramatic leap forward in the Laboratory's quest for a predictive simulation capability.},
doi = {10.2172/1050502},
url = {https://www.osti.gov/biblio/1050502}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2012},
month = {9}
}