Title page for ETD etd-82297-223759

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
  • algorithm
  • parallel
Date of Defense 1997-09-19
Availability unrestricted
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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