The development of multimedia technology, along with the emergence of parallel architectures, has revived the interest on dataflow programming for designing embedded systems. Indeed, dataflow programming offers a flexible development approach in order to build complex applications while expressing concurrency and parallelism explicitly. Paradoxically, most of the studies focus on static dataflow models of computation, even if a pragmatic development process requires the expressiveness and the practicality of a programming language based on dynamic dataflow models, such as the language included in the Reconfigurable Video Coding framework. In this thesis, we describe a complete development environment for dataflow programming that eases multimedia development for embedded multi-core platforms. This development environment is built upon a modular software architecture that benefits from modern software engineering techniques such as meta modeling and aspect-oriented programming. Then, we develop an optimized software implementation of dataflow programs targeting desktop and embedded multi-core platforms. Our implementation aims to bridge the gap between the practicality of the programming language and the efficiency of the execution. Finally, we present a set of runtime actors mapping/scheduling algorithms that enable the execution of dynamic dataflow programs over multi-core platforms with scalable performance.
| Identifer | oai:union.ndltd.org:CCSD/oai:tel.archives-ouvertes.fr:tel-00939346 |
| Date | 25 October 2013 |
| Creators | Yviquel, Hervé |
| Publisher | Université Rennes 1 |
| Source Sets | CCSD theses-EN-ligne, France |
| Language | English |
| Detected Language | English |
| Type | PhD thesis |
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