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Parallel computation for the solution of block bordered nonlinear equations and their applications

Thesis/Dissertation ·
OSTI ID:5815220
The author discusses a group of parallel algorithms, and their implementation, for solving a special class of nonlinear equations arising in VLSI design, structural engineering and other areas. The class of sparsity occurring in these problems is called block bordered structure. He presents the explicit method and several implicit methods for solving block bordered nonlinear problems, and give some mathematical analysis and comparisons of the two methods. Several variations and globally convergent modifications of the implicit method, and the treatment of singular Jacobian matrices are also described. He presents computational results on a sequential computer that help compare and justify the efficiency of the algorithms. He describes parallel algorithms for solving the block bordered nonlinear equations, and present experimental results on both the Encore Multimax, a shared memory multiprocessor, and the Intel hypercube that show the effectiveness of the parallel implicit algorithms. These experiments include a fairly large circuit simulation that leads to a multi-level block bordered system of nonlinear equations.
Research Organization:
Colorado Univ., Boulder, CO (USA)
OSTI ID:
5815220
Country of Publication:
United States
Language:
English