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Title: Solving a Large Scale Thermal Radiation Problem Using an Interoperable Executive Library Framework on Petascale Supercomputers

Abstract

We present a novel methodology to compute the transient thermal condi- tion of a set of objects in an open space environment. The governing energy equa- tion and the convective energy transfer are solved by the sparse iterative solvers. The average radiating energy on a set of surfaces is represented by a linear system of the radiosity equations, which is factorized by an out-of-core parallel Cholesky decomposition solver. The coupling and interplay of the direct radiosity solver us- ing GPUs and the CPU-based sparse solver are handled by a light weight software integrator called Interoperable Executive Library (IEL). IEL manages the distribu- tion of data and memory, coordinates communication among parallel processes, and also directs execution of the set of loosely coupled physics tasks as warranted by the thermal condition of the simulated object and its surrounding environment.

Authors:
 [1];  [1];  [2];  [1];  [3]
  1. ORNL
  2. Chinese University of Hong Kong (CUHK)
  3. Center for Computational Materials Science
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1302880
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Journal Volume: 117; Conference: International Conference: AMMCS-2013, Waterloo, Ontario, Canada, Canada, 20130826, 20130830
Country of Publication:
United States
Language:
English

Citation Formats

Wong, Kwai, D'Azevedo, Ed F, Hu, Harvy, Kail, Andrew A, and Su, Shiquan. Solving a Large Scale Thermal Radiation Problem Using an Interoperable Executive Library Framework on Petascale Supercomputers. United States: N. p., 2015. Web. doi:10.1007/978-3-319-12307-3_72.
Wong, Kwai, D'Azevedo, Ed F, Hu, Harvy, Kail, Andrew A, & Su, Shiquan. Solving a Large Scale Thermal Radiation Problem Using an Interoperable Executive Library Framework on Petascale Supercomputers. United States. doi:10.1007/978-3-319-12307-3_72.
Wong, Kwai, D'Azevedo, Ed F, Hu, Harvy, Kail, Andrew A, and Su, Shiquan. Thu . "Solving a Large Scale Thermal Radiation Problem Using an Interoperable Executive Library Framework on Petascale Supercomputers". United States. doi:10.1007/978-3-319-12307-3_72.
@article{osti_1302880,
title = {Solving a Large Scale Thermal Radiation Problem Using an Interoperable Executive Library Framework on Petascale Supercomputers},
author = {Wong, Kwai and D'Azevedo, Ed F and Hu, Harvy and Kail, Andrew A and Su, Shiquan},
abstractNote = {We present a novel methodology to compute the transient thermal condi- tion of a set of objects in an open space environment. The governing energy equa- tion and the convective energy transfer are solved by the sparse iterative solvers. The average radiating energy on a set of surfaces is represented by a linear system of the radiosity equations, which is factorized by an out-of-core parallel Cholesky decomposition solver. The coupling and interplay of the direct radiosity solver us- ing GPUs and the CPU-based sparse solver are handled by a light weight software integrator called Interoperable Executive Library (IEL). IEL manages the distribu- tion of data and memory, coordinates communication among parallel processes, and also directs execution of the set of loosely coupled physics tasks as warranted by the thermal condition of the simulated object and its surrounding environment.},
doi = {10.1007/978-3-319-12307-3_72},
journal = {},
number = ,
volume = 117,
place = {United States},
year = {Thu Jan 01 00:00:00 EST 2015},
month = {Thu Jan 01 00:00:00 EST 2015}
}

Conference:
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