Performance is important when creating large experiments or simulations. However it would be preferable not to lose programmer productivity. A lot of effort has already been put into creating fast libraries for for example linear algebra based computations (BLAS and LAPACK). In this paper, we show that utilizing these libraries in a DSL made for productivity will solve both problems. This is done via automatic code generation and can be extended to other languages, libraries, and features.
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