Type of Document	Master's Thesis
Author	Qu, Shaohong
Author's Email Address	squ@qualcomm.com
URN	etd-82297-223759
Title	High Performance Algorithms for Structural Analysis of Grid Stiffened Panels
Degree	Master of Science
Department	Computer Science
Advisory Committee	Advisor Name Title Ribbens, Calvin J. Committee Chair Beattie, Christopher A. Committee Member Gürdal, Zafer Committee Member
Keywords	algorithm parallel ARPACK ScaLAPACK
Date of Defense	1997-09-19
Availability	unrestricted
Abstract In this research, we apply modern high performance computing techniques to solve an engineering problem, structural analysis of grid stiffened panels. An existing engineering code, SPANDO, is studied and modified to execute more efficiently on high performance workstations and parallel computers. Two new SPANDO packages, a modified sequential SPANDO and parallel SPANDO, are developed. In developing the new sequential SPANDO, we use two existing high performance numerical packages: LAPACK and ARPACK to solve our linear algebra problems. Also, a new block-oriented algorithm for computing the matrix-vector multiplication w=A^{-1}Bx is developed. The experimental results show that the new sequential SPANDO can save over 70% of memory size, and is at least 10 times faster than the original SPANDO. In parallel SPANDO, ScaLAPACK and BLACS are used. There are many factors that may affect the performance of parallel SPANDO. The parallel performance and the affects of these factors are discussed in this thesis.
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