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A Multi-Level Parallelization Concept for High-Fidelity Multi-Block SolversThe integration of high-fidelity Computational Fluid Dynamics (CFD) analysis tools with the industrial design process benefits greatly from the robust implementations that are transportable across a wide range of computer architectures. In the present work, a hybrid domain-decomposition and parallelization concept was developed and implemented into the widely-used NASA multi-block Computational Fluid Dynamics (CFD) packages implemented in ENSAERO and OVERFLOW. The new parallel solver concept, PENS (Parallel Euler Navier-Stokes Solver), employs both fine and coarse granularity in data partitioning as well as data coalescing to obtain the desired load-balance characteristics on the available computer platforms. This multi-level parallelism implementation itself introduces no changes to the numerical results, hence the original fidelity of the packages are identically preserved. The present implementation uses the Message Passing Interface (MPI) library for interprocessor message passing and memory accessing. By choosing an appropriate combination of the available partitioning and coalescing capabilities only during the execution stage, the PENS solver becomes adaptable to different computer architectures from shared-memory to distributed-memory platforms with varying degrees of parallelism. The PENS implementation on the IBM SP2 distributed memory environment at the NASA Ames Research Center obtains 85 percent scalable parallel performance using fine-grain partitioning of single-block CFD domains using up to 128 wide computational nodes. Multi-block CFD simulations of complete aircraft simulations achieve 75 percent perfect load-balanced executions using data coalescing and the two levels of parallelism. SGI PowerChallenge, SGI Origin 2000, and a cluster of workstations are the other platforms where the robustness of the implementation is tested. The performance behavior on the other computer platforms with a variety of realistic problems will be included as this on-going study progresses.
Document ID
20020050258
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Hatay, Ferhat F.
(MCAT Inst. Moffett Field, CA United States)
Jespersen, Dennis C.
(NASA Ames Research Center Moffett Field, CA United States)
Guruswamy, Guru P.
(NASA Ames Research Center Moffett Field, CA United States)
Rizk, Yehia M.
(NASA Ames Research Center Moffett Field, CA United States)
Byun, Chansup
(MCAT Inst. Moffett Field, CA United States)
Gee, Ken
(MCAT Inst. Moffett Field, CA United States)
VanDalsem, William R.
Date Acquired
August 20, 2013
Publication Date
January 1, 1997
Subject Category
Fluid Mechanics And Thermodynamics
Meeting Information
Meeting: High Performance Networking and Computing Conference
Location: San Jose, CA
Country: United States
Start Date: November 15, 1997
End Date: November 21, 1997
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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