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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2005.11
- 수록면
- 121 - 124 (4page)
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We discuss the performance enhancement techniques for a parallel block Lanczos eigen-solver which deals with a symmetric generalized eigenvalue problem. Approaches proposed in this research are suited for distributed memory parallel environments. Performance tuning of a eigen-solver covers the efficient implementation of block Lanczos iteration and the optimization of the linear equation solver incorporated with the eigen-solver. We propose a block Lanczos iteration equipped with effective mass multiplication algorithm and apply some kinds of concepts to enhance the performance of a linear equation solver. Factorization and triangular system solving phases are simultaneously considered for optimization of a linear equation solver. After individual routines are optimized respectively, they are applied to a single eigen-solver code.
목차
ABSTRACT
MOTIVATION
STRATEGY OF PERFORMANCE ENHANCEMENT
PRELIMINARY RESULTS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2009-410-014677591