Fast multiple string matching using streaming SIMD extensions technology

  • Authors:

  • Simone Faro;M. Oğuzhan Külekci

  • Affiliations:

  • Dipartimento di Matematica e Informatica, Università di Catania, Italy;TÜBİTAK National Research Institute of Electronics and Cryptology, Turkey

  • Venue:
  • SPIRE'12 Proceedings of the 19th international conference on String Processing and Information Retrieval
  • Year:
  • 2012

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Abstract

Searching for all occurrences of a given set of patterns in a text is a fundamental problem in computer science with applications in many fields, like computational biology and intrusion detection systems. In the last two decades a general trend has appeared trying to exploit the power of the word RAM model to speed-up the performances of classical string matching algorithms. This study introduces a filter based exact multiple string matching algorithm, which benefits from Intel's SSE (streaming SIMD extensions) technology for searching long strings. Our experimental results on various conditions show that the proposed algorithm outperforms other solutions, which are known to be among the fastest in practice.