Special Issue on Applied Reconfigurable Computing

Frank Hannig; Steven Derrien

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Special Issue on Applied Reconfigurable Computing

机译：Special Issue on Applied Reconfigurable Computing

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Employing reconfigurable devices that can adapt-even at runtime-the structure of the underlying hardware architecture to the specific requirements of a given application can lead to tremendous boosts in performance and energy efficiency compared to conventional architectures [1]. The articles in this special issue feature different types of reconfigurable devices, including field-programmable gate arrays (FPGAs), coarse-grained reconfigurable arrays (CGRAs), and configurable heterogeneous platforms. The application areas are manifold, including image, video, and other digital signal processing, scientific computing, or near-data processing for databases, to name only a few, which are also considered in this special issue. This special issue of Springer's Journal of Signal Processing Systems covers various facets of the abovementioned topics. The special issue is based on extended versions of selected top-level papers presented at the 17th International Symposium on Applied Reconfigurable Computing (ARC). The 2021 edition of ARC [2] was hosted by the Universite de Rennes 1 and Inria, France, and took place as a virtual conference during June 29-30,2021. From 36 submitted papers, 14 regular papers had been presented at ARC 2021, and after a careful peer-review process, four extended manuscripts were accepted for inclusion in this special issue. It is our pleasure to introduce these articles in the following briefly.

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《Journal of signal processing systems for signal, image, and video technology》 |2022年第9期|847-848|共2页
作者
Frank Hannig; Steven Derrien;
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Department of Computer Science - Hardware/Software Co-Design, Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU), Cauerstr. 11,91058 Erlangen, Germany;

Univ Rennes, Inria, CNRS, IRISA, Campus de Beaulieu, 35042 Rennes Cedex, France;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
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正文语种英语
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Special Issue on Applied Reconfigurable Computing

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