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 3.13, released in March, 2020.

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
Mar 31, 2020 SLEPc 3.13 has been released. The distribution file is available at the download page. See a list of changes in this version.
Jan 13, 2020 New patch release: slepc-3.12.2 contains miscellaneous fixes.
Dec 10, 2019 The SLEPc repository has been moved from BitBucket to GitLab. For each local copy of the SLEPc repository you need to do:
git remote set-url origin git@gitlab.com:slepc/slepc.git 
or
git remote set-url origin https://gitlab.com/slepc/slepc.git
Nov 8, 2019 New patch release: slepc-3.12.1 contains miscellaneous fixes.
Sep 30, 2019 SLEPc 3.12 has been released. The distribution file is available at the download page. See a list of changes in this version.
Jul 30, 2019 New patch release: slepc-3.11.2 contains miscellaneous fixes.