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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...

This Project has No vulnerabilities Reported Against it

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30 Day Summary

Jul 16 2017 — Aug 15 2017

12 Month Summary

Aug 15 2016 — Aug 15 2017
  • 596 Commits
    Down -42 (6%) from previous 12 months
  • 8 Contributors
    Up + 2 (33%) from previous 12 months