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Exploiting Low-Rank Structure in Computing Matrix Powers with Applications to Preconditioning

Exploiting Low-Rank Structure in Computing Matrix Powers with Applications to Preconditioning. Erin C. Carson Nicholas Knight, James Demmel , Ming Gu U.C. Berkeley. Motivation: The Cost of an Algorithm. Algorithms have 2 costs: Arithmetic (flops) and m ovement of data (communication)

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Parallel hss akx algorithm - PowerPoint PPT Presentation

Exploiting Low-Rank Structure in Computing Matrix Powers with Applications to Preconditioning