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Auflistung nach Schlagwort "parsing"

1 - 3 von 3
  • Konferenzbeitrag
    An FPGA Avro Parser Generator for Accelerated Data Stream Processing
    (BTW 2023, 2023) Hahn, Tobias; Schüll, Daniel; Wildermann, Stefan; Teich, Jürgen
    Big Data applications frequently involve processing data streams encoded in semi-structured data formats such as JSON, Protobuf, or Avro.A major challenge in accelerating data stream processing on FPGAs is that the parsing of such data formats is usually highly complex.This is especially true for JSON parsing on FPGAs, which lies in the focus of related work.The parsing of the binary Avro format, on the other hand, is perfectly suited for being processed on FPGAs and can thus serve as an enabler for data stream processing on FPGAs.In this realm, we present a methodology for parsing, projection, and selection of Avro objects, which enforces an output format suitable for further processing on the FPGA.Moreover, we provide a generator to automatically create accelerators based on this methodology.The obtained accelerators can achieve significant speedups compared to CPU-based parsers, and at the same time require only very few FPGA resources.
  • Konferenzbeitrag
    An Improved E-Learning Tool for Parsing-as-Deduction
    (20. Fachtagung Bildungstechnologien (DELFI), 2022) Westburg, Anika
    This paper presents an extended version of the CL-Taskbox introduced at DELFI 2019. The e-learning tool for the so-called parsing-as-deduction approach has been expanded with the generation of random tasks of several difficulty levels. Additional to aiding the learner in solving the tasks by providing constant visual feedback, a new feature that allows to draw freehand directly on the page aims at teachers who use the tool for explanations.
  • Konferenzbeitrag
    Towards Entropy-Based Requirements Elicitation
    (Information systems technology and its applications – 6th international conference – ISTA 2007, 2007) Kostanyan, Arkadiy V.; Shekhovtsov, Vladimir A.
    This paper presents our views towards constructing the universal parsing technique for the software requirements texts and the requirements elicitation technique based on the output of this parsing process. With the proposed parsing technique, it should be possible to achieve language-independent processing of the requirements texts. Source sentences are treated as systems with words as elements and with a state determining the set of links between elements. The main goal of the parser is to find the state of the system with the highest organization level by minimizing its entropy. The requirements elicitation technique extends trained indicator approach by Cleland-Huang treating inter-word links as indicators. The output of the elicitation process is the set of requirements information ready to be processed further using Conceptual and Aspectual Predesign techniques.