Scalable Eigen-analysis engine for large-scale eigenvalue problems

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Abstract

Our project aims to develop a massively parallel Eigen-Supercomputing Engine for post-petascale systems. Our Eigen-Engines are based on newly designed algorithms that are suited to the hierarchical architecture in post-petascale systems and show very good performance on petascale systems including K computer. In this paper, we introduce our Eigen-Supercomputing Engines: z-Pares and EigenExa and their performance.

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APA

Sakurai, T., Futamura, Y., Imakura, A., & Imamura, T. (2018). Scalable Eigen-analysis engine for large-scale eigenvalue problems. In Advanced Software Technologies for Post-Peta Scale Computing: The Japanese Post-Peta CREST Research Project (pp. 37–57). Springer Singapore. https://doi.org/10.1007/978-981-13-1924-2_3

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