A framework of DYNAMIC data structures for string processing

Publication: Research - peer-reviewJournal article – Annual report year: 2017

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In this paper we present DYNAMIC, an open-source C++ library implementing dynamic compressed data structures for string manipulation. Our framework includes useful tools such as searchable partial sums, succinct/gap-encoded bitvectors, and entropy/run-length compressed strings and FM indexes. We prove close-to-optimal theoretical bounds for the resources used by our structures, and show that our theoretical predictions are empirically tightly verified in practice. To conclude, we turn our attention to applications. We compare the performance of five recently-published compression algorithms implemented using DYNAMIC with those of stateof-the-art tools performing the same task. Our experiments show that algorithms making use of dynamic compressed data structures can be up to three orders of magnitude more space-efficient (albeit slower) than classical ones performing the same tasks.
Original languageEnglish
JournalLeibniz International Proceedings in Informatics
Volume75
Number of pages15
ISSN1868-8969
DOIs
StatePublished - 2017
CitationsWeb of Science® Times Cited: No match on DOI
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