The Application of Nearly Embarrassingly Parallel Computation in the Optimization of Fluid-Film Lubrication© |
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Authors: | NENZI WANG YAU-ZEN CHANG CHIH-MING TSAI |
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Affiliation: | Chang Gung University Department of Mechanical Engineering , Tao-Yuan, Taiwan |
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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. |
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Keywords: | Optimization Parallel Computation Air Bearings |
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