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Templates offer three significant advantages. First, templates are general and reusable. Thus, they can simplify ports to diverse machines. This feature is important given the diversity of parallel architectures.
Second, templates exploit the expertise of two distinct groups. The expert numerical analyst creates a template reflecting in-depth knowledge of a specific numerical technique. The computational scientist then provides ``value-added'' capability to the general template description, customizing it for specific contexts or applications needs.
And third, templates are not language specific. Rather, they are displayed in an Algol-like structure, which is readily translatable into the target language such as FORTRAN (with the use of the Basic Linear Algebra Subprograms, or BLAS, whenever possible) and C. By using these familiar styles, we believe that the users will have trust in the algorithms. We also hope that users will gain a better understanding of numerical techniques and parallel programming.
For each template, we provide some or all of the following:
For each of the templates, the following can be obtained via electronic mail.
See Appendix for details.