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Lempel-Ziv decoding in external memory

  • Djamal Belazzougui
  • , Juha Kärkkäinen
  • , Dominik Kempa
  • , Simon J. Puglisi
  • Research Center for Scientific and Technical Information
  • University of Helsinki

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Simple and fast decoding is one of the main advantages of LZ77-type text encoding used in many popular file compressors such as gzip and 7zip. With the recent introduction of external memory algorithms for Lempel-Ziv factorization there is a need for external memory LZ77 decoding but the standard algorithm makes random accesses to the text and cannot be trivially modified for external memory computation. We describe the first external memory algorithms for LZ77 decoding, prove that their I/O complexity is optimal, and demonstrate that they are very fast in practice, only about three times slower than in-memory decoding (when reading input and writing output is included in the time).

Original languageEnglish
Title of host publicationExperimental Algorithms - 15th International Symposium, SEA 2016, Proceedings
EditorsAlexander S. Kulikov, Andrew V. Goldberg
PublisherSpringer Verlag
Pages63-74
Number of pages12
ISBN (Print)9783319388502
DOIs
StatePublished - 2016
Event15th International Symposium on Experimental Algorithms, SEA 2016 - St. Petersburg, Russian Federation
Duration: Jun 5 2016Jun 8 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9685
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Symposium on Experimental Algorithms, SEA 2016
Country/TerritoryRussian Federation
CitySt. Petersburg
Period06/5/1606/8/16

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