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 3.6, released in June, 2015.

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 29, 2016 New patch release: slepc-3.6.3 contains miscellaneous fixes.
Mar 21, 2016 A new SLEPc technical report STR-11 has been added in the documentation section. The report describes the contour integral solvers in SLEPc.
Mar 21, 2016 SLEPc developers will be attending the forthcoming PETSc User Meeting 2016 in Vienna on June 28-30, 2016.
Nov 3, 2015 New patch release: slepc-3.6.2 contains various fixes, related to the EPSLOBPCG and NEPINTERPOL solvers, among other issues.
Sep 3, 2015 New patch release: slepc-3.6.1 contains miscellaneous fixes.