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 3.3, released in August, 2012.
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:
|Oct 3, 2012
||New patch release: slepc-3.3-p3 contains miscellaneous fixes.
|Aug 20, 2012
||New patch release: slepc-3.3-p2 fixes the Fortran interfaces and several bugs in Davidson solvers and spectrum slicing.
|Aug 4, 2012
||New patch release: slepc-3.3-p1 fixes broken builds with C++.
|Aug 3, 2012
||SLEPc 3.3 has been released. The distribution file is available at the download page. A list of changes in this release is available.
|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.