This is the home page of SLEPc, the Scalable Library for Eigenvalue Problem Computations. SLEPc 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). Additionally, SLEPc provides solvers for the computation of the action of a matrix function on a vector.

The current version of SLEPc is 3.8, released in October, 2017.

SLEPc is based on the PETSc data structures and it employs the MPI standard for message-passing communication. It is being developed by researchers from Universitat Politècnica de València (Spain).

For a summary of its functionality, download the SLEPc 1-page flyer:  

Latest News and Forthcoming Events subscribe
Dec 1, 2017 New patch release: slepc-3.8.2 contains several bug fixes, most notably in the evaluation of functions of complex Hermitian matrices.
Nov 3, 2017 New patch release: slepc-3.8.1 contains fixes to the new filter functionality, among others.
Oct 20, 2017 SLEPc 3.8 has been released. The distribution file is available at the download page. A list of changes in this release is available.
Jun 6, 2017 Several video-tutorials have been added to the documentation section.
May 17, 2017 New patch release: slepc-3.7.4 contains miscellaneous fixes.
Sep 29, 2016 New patch release: slepc-3.7.3 fixes some bugs in auxiliary components of SLEPc such as DS, BV and RG.
Jul 19, 2016 New patch release: slepc-3.7.2 contains miscellaneous fixes concerning different components of SLEPc.