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 3.1, released in August, 2010.

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

Aug 4, 2010	SLEPc 3.1 has been released. The distribution file is available at the download page. A list of changes in this release is available.