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Kengo Nakajima
2016-11-04  13:30 - 14:30
Room 526 , Astronomy and Mathematics Building

Preconditioned iterative solvers are widely used for solving linear equations with sparse matrices derived from various types of scientific and engineering applications. In this talk, we introduce recent developments in this area, such as pipelined algorithms, and loop scheduling. Moreover, results using Oakleaf-FX (Fujitsu PRIMEHPC FX10) with up to 4,800 nodes (76,800 cores) and Reedbush-U (Intel Broadwell cluster) with up to 384 nodes (12,288 cores) are presented. Recent updates of my works in this area will be also presented.