BENCHMARKING HIGH PERFORMANCE ARCHITECTURES WITH NATURAL LANGUAGE PROCESSING ALGORITHMS

Marcin Kuta; Jacek Kitowski

doi:10.7494/csci.2011.12.0.19

Authors

Marcin Kuta AGH University of Science and Technology
Jacek Kitowski AGH University of Science and Technology

DOI:

https://doi.org/10.7494/csci.2011.12.0.19

Keywords:

benchmarking, part-of-speech tagging, document clustering, natural language processing, high performance architectures

Abstract

Natural Language Processing algorithms are resource demanding, especially when tuning toinflective language like Polish is needed. The paper presents time and memory requirementsof part of speech tagging and clustering algorithms applied to two corpora of the Polishlanguage. The algorithms are benchmarked on three high performance platforms of differentarchitectures. Additionally sequential versions and OpenMP implementations of clusteringalgorithms were compared.

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Author Biographies

Marcin Kuta, AGH University of Science and Technology

Faculty of Electrical Engineering, Automatics, ITand Electronics, Department of Computer Science
Jacek Kitowski, AGH University of Science and Technology

Faculty of Electrical Engineering, Automatics, ITand Electronics, Department of Computer Science, ACC CYFRONET AGH

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