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Project Summary

SLEPc, the Scalable Library for Eigenvalue Problem Computations, is a software library for the solution of large scale sparse eigenvalue problems on parallel computers. It is an extension of PETSc and can be used for linear eigenvalue problems in either standard or generalized form, with real or complex arithmetic. It can also be used for computing a partial SVD of a large, sparse, rectangular matrix, and to solve nonlinear eigenvalue problems (polynomial or general).

Tags

eigenproblem hpc mpi numericalmethods parallelcomputing scientific_computing simulation

In a Nutshell, SLEPc...

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30 Day Summary

Oct 17 2018 — Nov 16 2018

12 Month Summary

Nov 16 2017 — Nov 16 2018
  • 405 Commits
    Down -49 (10%) from previous 12 months
  • 6 Contributors
    Down 0 (0%) from previous 12 months