Zhaojun Bai
University of Kentucky
David Day
University of Kentucky
James Demmel
University of California - Berkeley
Jack Dongarra
University of Tennessee and
Oak Ridge National Laboratory
Ming Gu
University of California - Berkeley
Axel Ruhe
Chalmers University of Technology, Göteborg
and
Henk van der Vorst
Utrecht University
Much of the work in developing linear algebra software for advanced-architecture computers is motivated by the need to solve large problems on the fastest computers available. In this chapter, we focus on four basic issues: (1) the motivation for the work; (2) the development of standards for use in linear algebra and the building blocks for a library; (3) aspects of templates for the solution of large sparse systems of linear algorithm; and (4) templates for the solution of large sparse eigenvalue problems. This last project is under development and we will pay more attention to it in this chapter.