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ポスターセッション発表概要
An FPGA Approach for Efficient Query Processor used in Database Analytics
○グエン ソンタン,グエン ホンティ,ハン コカ(電気通信大学)
Recent years have witnessed a massive growth of global data due to the ubiquitous internet-of-thing products, social networking services, and mobile devices. Fast database analytics, therefore, has been increasingly attractive to numerous research. In this paper, a low-latency FPGA-based Query Processor (QP) using bitmap index is proposed. By exploiting available embedded memory blocks and logic elements, a 50-MHz QP is capable of performing 1,024 queries for entire 32,768 4-KB records within around 3.31 ms. In other words, QP can analyze a capacity data of nearly 37.76 GB per second.
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