This paper describes a systematic method and an experimental software system for high-level transformations of designs specified at behavioral level. The goal is to transform the initial design specifications into an optimized data flow graph (DFG) better suited for high-level synthesis. The optimizing transformations are based on a canonical Taylor Expansion Diagram (TED) representation, followed by structural transformations of the resulting DFG network. The system is intended for data-flow and computation-intensive designs used in computer graphics and digital signal processing applications.
This paper describes an efficient method to perform factorization of DSP transforms based on Taylor ExpansionDiagram (TED). It is shown that TED can efficiently represent and manipulate mathematical expressions. We demonstrate that it enables efficient factorization of arithmetic expressions of DSP transforms, resulting in a simplification of the computation.
International audienceThis paper describes an agent oriented framework supporting bio-inspired mechanisms which takes profit of the intrinsic hardware parallelism of the pervasive platform developed within the Perplexus IST European project. The proposed framework is a flexible and modular means to describe and simulate complex phenomena such as biologically plausible neural networks or culture dissemination. Associated to this framework and based on the multiprocessor architecture of the Perplexus platform nodes, a tool suite capable of accelerating parallelizable agents is described. Therefore, this contribution combines the software flexibility of agent-based programming with the efficiency of multiprocessor hardware execution. This framework has been successfully tested with two experiments: a proof of concept application made of robots that autonomously improve their behaviours according to their environment and a spiking neural network simulation. These results prove that the framework and its associated methodology are relevant in the context of the simulation of complex phenomena
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