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Unstructured adaptive grid computations on an array of smps
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Sohn, Andrew Simon, Horst D. Biswas, Rupak Pramanick, Ira |
| Copyright Year | 1996 |
| Description | Dynamic load balancing is necessary for parallel adaptive methods to solve unsteady CFD problems on unstructured grids. We have presented such a dynamic load balancing framework called JOVE, in this paper. Results on a four-POWERnode POWER CHALLENGEarray demonstrated that load balancing gives significant performance improvements over no load balancing for such adaptive computations. The parallel speedup of JOVE, implemented using MPI on the POWER CHALLENCEarray, was significant, being as high as 31 for 32 processors. An implementation of JOVE that exploits 'an array of SMPS' architecture was also studied; this hybrid JOVE outperformed flat JOVE by up to 28% on the meshes and adaption models tested. With large, realistic meshes and actual flow-solver and adaption phases incorporated into JOVE, hybrid JOVE can be expected to yield significant advantage over flat JOVE, especially as the number of processors is increased, thus demonstrating the scalability of an array of SMPs architecture. |
| File Size | 609208 |
| Page Count | 12 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19960049718 |
| Archival Resource Key | ark:/13960/t8nd0wj7b |
| Language | English |
| Publisher Date | 1996-07-01 |
| Access Restriction | Open |
| Subject Keyword | Computer Programming And Software Balancing Computational Fluid Dynamics Unstructured Grids Mathematics Massively Parallel Processors Dynamic Loads Architecture Computers Unsteady Flow Memory Computers Parallel Processing Computers Ntrs Nasa Technical Reports ServerĀ (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |