The Matrix Template Library: A Unifying Framework for Numerical Linear Algebra

Abstract. We present a uni ed approach for expressing high performance numerical linear algebra routines for a class of dense and sparse matrix formats and shapes. As with the Standard Template Library 7 , we explicitly separate algorithms from data structures through the use of generic programming techniques. We conclude that such an approach does not hinder high performance. On the contrary, writing portable high performance codes is actually enabled with such an approach because the performance critical code sections can be isolated from the algorithms and the data structures.

• Type: Conference
• Year: 1998
• Where: ECOOPW
• Authors: Jeremy G. Siek, Andrew Lumsdaine
• Keywords: Data Structures, Distributed And Parallel Computing, ECOOPW 1998, Performance Numerical Linear, Uni Ed Approach