Pittsburgh Supercomputing Center 

Advancing the state-of-the-art in high-performance computing,
communications and data analytics.


LAPACK provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. The associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur) are also provided, as are related computations such as reordering of the Schur factorizations and estimating condition numbers. Dense and banded matrices are handled, but not general sparse matrices. In all areas, similar functionality is provided for real and complex matrices, in both single and double precision.

In addition to being installed as a stand-alone library, LAPACK is included in the MKL library.

LAPACK is provided by the University of Tennessee, the University of California Berkeley, the University of Colorado, Denver, and NAG Ltd.

It is installed on blacklight.


To run a LAPACK job on Blacklight, follow these steps:

  1. Create a batch job which:
    1. Sets up the module command
    2. Loads the correct lapack module for the version you wish to run.

      See documentation on the module software to determine

      To load the default version, type

      module load lapack
  2. Submit the job with the qsub command.