IDACT serves as an automated middle-layer which acts as an interface between the user and the heterogeneous data sources. Data sources are registered with the middle-layer, and a user can then request data from any (or all) of the available sources without having knowledge of the specific implementation details and formats. The data returned will be automatically converted from the native forma...

We present a new model DF for the implementation of non-strict but non-lazy functional languages (dataaow languages) on conventional parallel hardware. DF consists of a small set of functions that can be added to any imperative language and allow to express dataaow behaviour in a simple and eecient way. The purpose of this model is to provide a high-level and machine-independent target language...

We present a high-level parallel calculus for nested sequences, NSC, ooered as a possible theoretical \core" of an entire class of collection-oriented parallel languages. NSC is based on while-loops as opposed to general recursion. A formal, machine independent deenition of the parallel time complexity and the work complexity of programs in NSC is given. Our main results are: (1) We give a tran...

This thesis presents a methodology to automatically determine a data memory organisation at compile time, suitable to exploit data reuse and loop-level parallelization, in order to achieve high performance and low power design for data-dominated applications. Moore’s Law has enabled more and more heterogeneous components integrated on a single chip. However, there are challenges to extract maxi...

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Denmark’s Depth Model (DDM) is a Digital Bathymetric based on hundreds of bathymetric survey datasets and historical sources within the Danish Exclusive Economic Zone. The DDM represents first publicly released model covering waters with grid resolution 50 m. When modern are not available for given area, used, or, as last resort, interpolation applied. generated by averaging depths values from ...