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EigenKernel

Level of openness:3 ★★★ Document quality:1 ★☆☆ A set of routines for real-symmetric dense eigenproblems in supercomputers or massively parallel machines. Both of standard and general eigenproblems are supported. A fast computation is achieved by optimal hybrid solvers among eigenproblem libraries of ELPA, EigenExa and ScaLAPACK. The package includes a mini-appli that can be used in a benchmark test.

Developers

Hiroto Imachi, Takeo Hoshi (Tottori University, Department of Applied Mathematics and Physics)

Methods

General numerical analysis, Eigenvalue problem

License

MIT License

Papers

H. Imachi and T. Hoshi, 'Hybrid numerical solvers for massively parallel eigenvalue computation and their benchmark with electronic structure calculations', J. Inf. Process. 24, pp. 164 -- 172 (2016).

Link

https://github.com/eigenkernel/eigenkernel

information

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