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The Application of Nearly Embarrassingly Parallel Computation in the Optimization of Fluid-Film Lubrication.
- Source :
- Tribology Transactions; Jan-Mar2004, Vol. 47 Issue 1, p34-42, 9p, 1 Diagram, 2 Charts, 9 Graphs
- Publication Year :
- 2004
-
Abstract
- The combination of powerful, yet inexpensive PCs and readily available open sources for parallel computation marks a new era of easy access to massive computation for the tribology community. The study demonstrates the applicability of embarrassingly parallel computation in the optimization of air-lubricated porous bearings with four design variables. To achieve high speedup without increasing the coding complexity, the master computer implements the lattice method to allocate the near-the-same computational load in the master-slave cluster. The effect of master capability on the cluster performance is also presented. The results are compared with that of an unparallelized simplex method and indicate a significant reduction in execution time due to parallelism. in a simulated analysis, a high speedup can also be obtained in dealing with a problem with many design variables. This study provides the framework for optimization of applications with complex tribological models to be solved with minimum execution time. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10402004
- Volume :
- 47
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Tribology Transactions
- Publication Type :
- Academic Journal
- Accession number :
- 13431362
- Full Text :
- https://doi.org/10.1080/05698190490279056