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Platform based on reconfigurable computing

Kritikakis Charalabos

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Year 2016
Type of Item Diploma Work
Bibliographic Citation Charalabos Kritikakis, "Platform based on reconfigurable computing", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2016
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Stream join is one of the most fundamental operations to relate information from different streams. The challenging task is to use systems with memory and run-time constraints in order to store and analyze massive volumes of streaming data. Hence, it is important to maximize the processing which is done on-the-fly as the streaming data arrives. This paper presents an FPGA-based architecture that maps the most performance-efficient stream join algorithm, i.e. ScaleJoin, to reconfigurable logic. The system was fully implemented on a Convey HC-2ex hybrid computer and experimental performance evaluation shows that the proposed system outperforms by up to one order of magnitude the corresponding fully optimized software-based solution running on a high-end 48-core multiprocessor platform, by exploiting the high internal bandwidth of present-day FPGAs. The proposed architecture can be used as a generic template for mapping other stream processing algorithms, taking into consideration real-world challenges.

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