A FRAMEWORK FOR THE DYNAMIC IMPLEMENTATION OF FINITE AUTOMATA FOR PERFORMANCE ENHANCEMENT

ERNEST KETCHA NGASSAM, BRUCE W. WATSON, DERRICK G. KOURIE
<span title="">2005</span> <i title="World Scientific Pub Co Pte Lt"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yhcgkcmjlvfovferf3in5mkmpq" style="color: black;">International Journal of Foundations of Computer Science</a> </i> &nbsp;
The aim of this work is to provide a model for the dynamic implementation of finite automata for enhanced performance. Investigations have shown that hardcoded finite automata outperforms the traditional table-driven implementation up to some threshold. Moreover, the kind of string being recognized plays a major role in the overall processing speed of the string recognizer. Various experiments are depicted to show when the advantages of using hardcoding as basis for implementing finite automata
more &raquo; ... (instead of using the classical table-driven approach) become manifest. The model, a dynamic algorithm that combines both hardcoding and table-driven is introduced.
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