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Rokko

  • Openness:3 ★★★
  • Document quality:2 ★★☆

A unified wrapper library for sequential and parallel versions of eigenvalue solvers. Sequential versions of dense-matrix diagonalization (LAPACK), parallel versions of dense-matrix diagonalization (EigenExa, ELPA, ScaLAPACK, etc.), and sequential/parallel versions of sparse-matrix diagonalization (SLEPc, Trilinos/Anasazi, etc.) can be installed quickly, and can be called from user’s program easily. Physical quantities written by eigenvalues or eigenvectors can also be evaluated by both sequential and parallel computation.

Information
Last Update:2021/03/06

Official site

https://github.com/t-sakashita/rokko

License

Boost Software License - Version 1.0
Availability Intel/GNU computer clusters, K-Computer, FX10, PC (Linux, Mac)
Core Developers Tatsuya Sakashita, Ryo Igarashi, Yuichi Motoyama, Tsuyoshi Okubo (The Institute for Solid State Physics, The University of Tokyo), Synge Todo (Department of Physics/The Institute for Solid State Physics, The University of Tokyo)
Target substance/model Hamiltonian matrices of quantum spin systems, etc. Rokko is applicable to not only materials science, but also any kind of calculation for eigenvalues and eigenvectors.
Physical quantities that can be computed Eigenenergy, Eigenstate, etc. (any kind of eigenvalues and eigenvectors)
Methodology Exact diagonalization
Parallelization Parallel computing by MPI and OpenMP is supported.
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