Original article can be found at: http://www.sciencedirect.com/science/journal/18770509 Copyright Elsevier B.V.We argue that programming high-end stream-processing applications requires a form of coordination language that enables the designer to represent interactions between stream-processing functions asynchronously. We further argue that the level of abstraction that current programming tools engender should be drastically increased and present a coordination language and component technology that is suitable for that purpose. We demonstrate our approach on a real radar-data processing application from which we reuse all existing components and present speed-ups that we were able to achieve on contemporary multi-core hardware

Abstract. S-Net is a declarative coordination language and component technology aimed at modern multi-core/many-core architectures and systems-on-chip. It builds on the concept of stream processing to structure networks of communicating asynchronous components, which can be implemented using a conventional (sequential) language. In this paper we present the architecture of our S-Net implementation. After sketching out the interplay between compiler and runtime system, we characterise the deployment and operational behaviour of our multithreaded runtime system for contemporary multi-core processors. Preliminary runtime figures demonstrate the effectiveness of our approach.

We present the design and implementation of CAOS, a domain-specific high-level programming language for the parallel simulation of extended cellular automata. CAOS allows scientists to specify complex simulations with limited programming skills and effort. Yet the CAOS compiler generates efficiently executable code that automatically harnesses the potential of contemporary multi-core processors, shared memory multiprocessors, workstation clusters and supercomputers.

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