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:
- Create a batch job which:
- Submit the job with the qsub command.