It has been designed to be efficient on a wide range of modern high-performance computers. It has been designed to be efficient on a wide range of modern high-performance computers. In addition, the package computes the QR and singular value decompositions of rectangular matrices and applies them to least squares problems. MASS 2.2 Mathematical Acceleration SubSystem. MASS was developed by IBM inside of IBM and released for general use.
Online documentation is accessed from the graphical front-end.
It assumes matrices are laid out in a two-dimensional block cyclic decomposition. It provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. Dense and banded matrices are handled, but not general sparse matrices. This information is available in alternative formats upon request by individuals with disabilities. The Supercomputing Institute does not collect personal information on visitors to our website.