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A Parallel Subspace Method Based on MPP Parallel Computer

Wang Shunxu (Basic Department, Lianyungang College of Chemical Technology Lianyungang,222001) Zhou Shuquan (College of Science, Nanjing University of Aeronautics & Astronautics Nanjing, 210016)  
Subspace method is an efficient tool for generalized eigenvalue problem in scientific and engineering computing. The former researchers have successfully achieved parallel algorithms of subspace method under the environments of vector computer and shared memory parallel computer. A parallel subspace method suitable to MPP parallel computer is presented. This algorithm converts the generalized eigenvalue problem to standard eigenvalue problem,its computational cost is mainly in matrix matrix operations. The parallel algorithm converts the calculation of the inverse and some multiplication of matrices to the solution of triangular systems in each node computer. With the dynamic analysis of J8 II plane wing, the numerical experiments in PAR95 show that the algorithm is very effective.
【Fund】: “九五”国防科技预研基金 !(编号 :16 .1.1)资助项目
【CateGory Index】: TP301
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