Development of an Eigen-Supercomputing Engine using a Post-Petascale Hierarchical Model

Research Project Outline

The aim of this research is to develop a massively parallel eigenvalue analysis engine using a hierarchical parallel structure, which is a defining characteristic of post-petascale architecture. The developed engine is based on newly designed algorithms created to address issues of scalability and fault tolerance that have plagued conventional eigenvalue solution methods. This analysis engine will open new doors for cutting-edge science and engineering simulations on scales that have never been feasible in the past, and then create a potential for stimulating technological innovation across a broad range of areas in science and industry.

Research Director
Professor, University of Tsukuba
Research Started
Research Area
Development of System Software Technologies for post-Peta Scale High Performance Computing
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Research Areas Completed
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