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 either standard or generalized eigenproblems, with real or complex arithmetic. It can also be used for computing a partial SVD of a large, sparse, rectangular matrix, and to solve quadratic eigenvalue problems.

The current version of SLEPc is 3.2, released in October, 2011.

SLEPc is based on the PETSc data structures and it employs the MPI standard for message-passing communication. It is being developed by the High Performance Networking and Computing Group (GRyCAP) of Universidad Politecnica de Valencia (Spain).

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

Latest News and Forthcoming Events subscribe

Apr 4, 2012	New patch release: slepc-3.2-p5 includes fixes for the EPSJD solver, for external packages, and for the correct generation of shared libraries.
Feb 14, 2012	New patch release: slepc-3.2-p4 fixes a problem when building with Microsoft compilers.
Nov 29, 2011	New patch release: slepc-3.2-p3 contains miscellaneous fixes.
Nov 18, 2011	New patch release: slepc-3.2-p2 contains many fixes for the Davidson solvers and also fixes the Fortran interface for monitors.
Nov 3, 2011	New patch release: slepc-3.2-p1 contains compilation fixes for C++ and several bugfixes.
Oct 28, 2011	SLEPc 3.2 has been released. The distribution file is available at the download page. A list of changes in this release is available.
Feb 21, 2011	New patch release: slepc-3.1-p6 contains fixes for the QEP package so that it can be used from Fortran.