A Flexible Dynamic Data Structure for Scientific Computing
نویسندگان
چکیده
We present an approach for a generic, multi-dimensional run-time data structure suitable for high-performance scientific computing in C++. Our concept for associating meta-information with the data structure as well as different underlying datatypes is depicted. High-performance, multi-dimensional data access is realized by utilizing a heterogenous compile-time container generation function. The generalized data structure implementation is discussed and performance results are given with respect to reference implementations. We show that our approach is not only highly flexible but also offers high-performance data access by simultaneously relying on a small code base.
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