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Challenges of High Performance Computing in Structural Industrial Finite Element Analysis
Joint CITRIS, CSE and Scientific Computing Distinguished Lecture Series
The computational solutions to these challenges are also rather complex. The first challenge is addressed partitioned solution of linear systems and eigenvalue problems. The second challenge gave a boost to symmetric reformulation and reduced order techniques. The third challenge resulted in the emergence of distributed memory parallel computational strategies for clusters of processors.
The presentation will review the computational challenges and present commercially useful high performance computing solutions.
He pioneered the introduction of the block Lanczos eigenvalue analysis method and multi-frontal sparse linear system solution into commercial finite element analysis. These since have become de-facto industrial standards and have been adopted by most commercial vendors. These since have become de-facto industrial standards and have been adopted by most commercial vendors.
Dr. Komzsik is the author of a book on the Lanczos method published by SIAM that has also been translated to Japanese, Korean and Hungarian. His book about Computational Techniques of Finite Element Analysis, is in its second edition, and his Approximation Techniques for Engineers was published in 2006. The closing book of his engineering mathematic trilogy is titled Applied Calculus of Variations for Engineers and appeared in 2008. All three were published by Taylor & Francis and they are used at companies and universities worldwide. Last Updated: January 29, 2009 - 2:46pm
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