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Abstract : |
Abstract. Performance short of that of C or FORTRAN 77 is a significant obstacle to general acceptance of object-oriented C++ frameworks in high-performance parallel scientific computing; nonetheless, their value in simplifying complex computations is inarguable. Examples of good performance for object-oriented libraries/frameworks are interesting, but a systematic analysis of performance issues has not been done. This paper explores a few of these issues and reports on three mechanisms for enhancing the performance of object-oriented frameworks for numerical computation. The first is binary operator overloading implemented with substantial internal optimizations, the second is expression templates, and the third is an optimizing preprocessor. The first two have been completely implemented and are available in the A++/P++ array class library 1, |
