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As processors and systems on chip in the embedded world increasingly become multicore, parallel programming remains a difficult, time-consuming and complicated task. End users who are not parallel programming experts have a need to exploit such processors and architectures, using high level programming languages, like Scilab or MATLAB. The ALMA toolset solves this problem: it takes Scilab code as...
Networks on Chip (NoC) have emerged as a promising interconnection technology for scalable many-core architectures. Proposed NoC-architectures and topologies often assume uniform distribution of traffic, where all tiles produce and consume the same amount of data. However, even in homogeneous many-core architectures the Network on Chip is used to access peripheral buses and memory controllers for...
Reconfigurable computing is a promising concept for data processing. Higher parallel utilization of the given hardware resources results in better performance and lower power consumption compared to conventional approaches like von Neumann or Harvard architectures. Nevertheless, current reconfigurable solutions have their limitations and require more scientific attention. This contribution presents...
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