Download Generic Programming: International Seminar on Generic by James C. Dehnert, Alexander Stepanov (auth.), Mehdi PDF
By James C. Dehnert, Alexander Stepanov (auth.), Mehdi Jazayeri, Rüdiger G. K. Loos, David R. Musser (eds.)
This booklet constitutes the completely refereed post-proceedings of the foreign Seminar on known Programming held in Dagstuhl fortress, Germany in April/May 1998.
The 20 revised complete papers have been rigorously reviewed for inclusion within the ebook. because the first ebook completely dedicated to the recent paradigm of known programming, this assortment bargains topical sections on foundations and technique comparisons, programming method, language layout, and applications.
Read or Download Generic Programming: International Seminar on Generic Programming Dagstuhl Castle, Germany, April 27–May 1, 1998 Selected Papers PDF
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Additional info for Generic Programming: International Seminar on Generic Programming Dagstuhl Castle, Germany, April 27–May 1, 1998 Selected Papers
Example text
This trend is a result of two main factors: a desire for high-level abstractions which closely model the problem domain, and the inability of traditional compilers to optimize such abstractions. We describe two such libraries here. Blitz++ The Blitz++ library [35] provides array objects for C++ similar to those in Fortran 90. The largest performance problem for arrays in C++ has been temporaries which result from overloaded operators. Blitz++ solves this problem using the expression templates technique [33], which allows it to generate custom evaluation kernels for array expressions.
Program Specialization provides means to tailor generic and highly parameterized components to specific needs and applications. One of the best developed specialization techniques is partial evaluation [1,8,20]. An extensive theory and literature on specialization and code generation was developed in this field. An important discovery was that the concept of generating extensions [12] unifies a wide class of apparently different program generators. Examples include parsing, translation, theorem proving, and pattern matching [14].
In our example the template argument is retrieved from the Xromazene, and after verification that it is a non-reference type argument, the default instantiation behavior accessible through the Xromasome interface is called. Generative Programming and Active Libraries 7 37 Conclusion and Future Work We presented an approach to generating software components which we call Generative Programming, and described Active Libraries, which implement this approach. Our approach has several advantages over conventional, passive libraries of procedures or objects: it allows the implementation of highly-parameterized and domain-specific abstractions without inefficiency.