Heinz Hornegger

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Massively parallel processor array architectures can be used as hardware accelerators for a plenty of dataflow dominant applications. Bilateral filtering is an example of a state-of-the-art algorithm in medical imaging, which falls in the class of 2D adaptive filter algorithms. In this paper, we propose a semi-automatic mapping methodology for the(More)
In this paper we present an almost automatic synthesis of a highly complex, throughput optimized architecture of an adaptive multiresolution filter as used in medical image processing for FPGAs. The filter consists of 16 parallel working modules, where the most computationally intensive module achieves software pipelining of a factor of 85, that is,(More)
The ever increasing complexity and power dissipation of computer architectures in the last decade blazed the trail for more power efficient parallel architectures. Hence, such architectures like field-programmable gate arrays (FPGAs) and particular graphics cards attained great interest and are consequently adopted for parallel execution of many number(More)
In this paper we study the possibilities offered by relatively new embedded systems interconnect technologies to extend and improve existing processing frameworks. We have chosen medical image processing applications for our research due to their rigid requirements, such as very high fault-tolerance, stringent real-time and demanding computational power. We(More)
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