A Generic Multi-Dimensional Run-Time Data Structure for High-Performance Scientific Computing

We present an approach for a generic, multidimensional run-time data structure suitable for highperformance scientific computing in C++. Our approach for associating meta-information with the data structure as well as different underlying datatypes is depicted. The highperformance, multi-dimensional data access is realized by utilizing a heterogenous compile-time container generation function. The generalized data structure implementation is discussed as well as performance results are shown 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.