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

Conference · Wed Dec 31 23:00:00 EST 2014

DOI:https://doi.org/10.1007/978-3-319-12307-3_72· OSTI ID:1302880

Wong, Kwai ^[1]; D'Azevedo, Ed F ^[1]; Hu, Harvy ^[2]; Kail, Andrew A ^[1]; Su, Shiquan ^[3]

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1. ORNL
2. Chinese University of Hong Kong (CUHK)
3. Center for Computational Materials Science

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.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: ORNL LDRD Director's R&D
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1302880
• Country of Publication: United States
• Language: English