Abstract
The traditional approach to writing basic linear algebra routines is a combinatorial affair. There are typically four precision types that need to be handled (single and double precision real, single and double precision complex), several dense storage types (general, banded, packed), a multitude of sparse storage types (the Sparse BLAS Standard Proposal includes 13 [1], as well as row and column orientations for each matrix type. It is no wonder the NIST implementation of the Sparse BLAS [5] contains over 10,000 routines and an automatic code generation system.
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© 1998 Springer-Verlag Berlin Heidelberg
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Siek, J.G., Lumsdaine, A. (1998). The Matrix Template Library: A Unifying Framework for Numerical Linear Algebra. In: Demeyer, S., Bosch, J. (eds) Object-Oriented Technology: ECOOP’98 Workshop Reader. ECOOP 1998. Lecture Notes in Computer Science, vol 1543. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49255-0_152
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DOI: https://doi.org/10.1007/3-540-49255-0_152
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