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ThinkMind // PESARO 2020, The Tenth International Conference on Performance, Safety and Robustness in Complex Systems and Applications // View article pesaro_2020_1_10_60007


Accelerating Real-time Processing of Articles by Using an OpenCL-based FPGA for the OSS Syntactic Parser SyntaxNet

Authors:
Yoshiki Kurokawa
Yuichiro Aoki
Yuki Kondo
Yaoko Nakagawa

Keywords: FPGA; OpenCL; Syntactic parser

Abstract:
To improve customer satisfaction is necessary to provide services that enable real-time responses to complaints for call-center operations. It is more imporant that the real-time parsing of complaint documents. Using the Open Source Software (OSS) syntactic parser SyntaxNet as a vehicle, a high-speed method using FPGA and OpenCL to achieve throughput of 700 words/s (required for real-time processing) is proposed. According to the results of the SyntaxNet analysis, matrix size (which changes dynamically according to the progress of the analysis) was found to be a performance determining factor. The proposed method was evaluated using public data, and the evaluation results confirmed throughput of 661 words/s, which almost met the requirement. As a result, the prospect of realization of a real-time complaint document analysis service for call centers was obtained.

Pages: 1 to 6

Copyright: Copyright (c) IARIA, 2020

Publication date: February 23, 2020

Published in: conference

ISSN: 2308-3700

ISBN: 978-1-61208-773-3

Location: Lisbon, Portugal

Dates: from February 23, 2020 to February 27, 2020

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