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By means of partial reconfiguration, parts of the hardware can be dynamically exchanged during operation what allows to adapt the system to changing requirements, and even enables the implementation of self-managing systems. This however requires sophisticated system architectures as well as proper algorithmic runtime support. In this paper, we present an algorithm for placing streaming applications...
Tile-based NoC architectures have emerged as promising field-programmable hardware architectures which provide arrays of programmable processing units to support run time adaptation. However, efficient real-time support is required for executing adaptive applications which offline design approaches may not provide. In this paper, running dynamic master/slave applications on homogeneous NoC architectures...
In this paper, we present an analysis of self-organizing bandwidth sharing in priority-based medium access. For this purpose, the priority-based Access Game is introduced. Analysis shows that a fair distribution of bandwidth cannot be achieved in this game. Therefore, we enhance this game by introducing a constraint that demands a small amount of the overall bandwidth being free. Fair bandwidth sharing...
Self-organization is a natural concept that helps complex systems to adapt themselves autonomically to their environment. In this paper, we present a self-organizing framework for multi-cue fusion in embedded imaging. This means that several simple image filters are used in combination to lead to a more robust system behavior. Human motion tracking serves as a show case. The system adapts to changes...
As the number of electronic components in automobiles steadily increases, the demand for higher communication bandwidth also rises dramatically. Instead of installing new wiring harnesses and new bus structures, it would be useful, if already available structures could be used, but driven at higher data rates. In this paper, we a) propose an extension of the well-known Controller Area Network (CAN)...
Online adaptation is a key requirement for image processing applications when used in dynamic environments. In contrast to batch learning, where retraining is required each time a new observation occurs, sequential learning algorithms offer the ability to iteratively adapt the existing classifier. In this paper, we present a neural network architecture and a fast online learning algorithm that allow...
Current graphic cards include advanced graphic processing units to accelerate the rendering of 3D objects with millions of polygons. As object models grow in complexity, the rendering approach based on points as primitives is regarded superior in terms of scalability and efficiency. Next generation graphic cards could contain reconfigurable fabrics, similar to those implemented in current FPGAs, to...
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