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 3.22, released in September, 2024.

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).

Latest News and Forthcoming Events subscribe

Dec 2, 2024	New patch release: slepc-3.22.2 includes several build-related fixes, mainly for slepc4py, and minor fixes in BSE solvers.
Oct 28, 2024	New patch release: slepc-3.22.1 fixes some issues related to makefiles, and other minor problems.
Sep 29, 2024	SLEPc 3.22 has been released. The distribution file is available at the download page. See a list of changes in this version.
Sep 25, 2024	New patch release: slepc-3.21.2 contains miscellaneous fixes, including compilation in some systems.
Apr 27, 2024	New patch release: slepc-3.21.1 contains miscellaneous changes including CUDA-related performance fixes and fixes for installing slepc4py with pip.