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        <identifier>oai:drops-oai.dagstuhl.de:11181</identifier>
        <datestamp>2024-03-06T10:47:39Z</datestamp>
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          <dc:title>External Memory Priority Queues with Decrease-Key and Applications to Graph Algorithms</dc:title>
          <dc:creator>Iacono, John</dc:creator>
          <dc:creator>Jacob, Riko</dc:creator>
          <dc:creator>Tsakalidis, Konstantinos</dc:creator>
          <dc:subject>priority queues</dc:subject>
          <dc:subject>external memory</dc:subject>
          <dc:subject>graph algorithms</dc:subject>
          <dc:subject>shortest paths</dc:subject>
          <dc:subject>depth-first search</dc:subject>
          <dc:subject>breadth-first search</dc:subject>
          <dc:description>We present priority queues in the external memory model with block size B and main memory size M that support on N elements, operation Update (a combination of operations Insert and DecreaseKey) in O(1/Blog_{M/B} N/B) amortized I/Os and operations ExtractMin and Delete in O(ceil[(M^epsilon)/B log_{M/B} N/B] log_{M/B} N/B) amortized I/Os, for any real epsilon in (0,1), using O(N/Blog_{M/B} N/B) blocks. Previous I/O-efficient priority queues either support these operations in O(1/Blog_2 N/B) amortized I/Os [Kumar and Schwabe, SPDP '96] or support only operations Insert, Delete and ExtractMin in optimal O(1/Blog_{M/B} N/B) amortized I/Os, however without supporting DecreaseKey [Fadel et al., TCS '99].&#13;
We also present buffered repository trees that support on a multi-set of N elements, operation Insert in O(1/Blog_M/B N/B) I/Os and operation Extract on K extracted elements in O(M^{epsilon} log_M/B N/B + K/B) amortized I/Os, using O(N/B) blocks. Previous results achieve O(1/Blog_2 N/B) I/Os and O(log_2 N/B + K/B) I/Os, respectively [Buchsbaum et al., SODA '00].&#13;
Our results imply improved O(E/Blog_{M/B} E/B) I/Os for single-source shortest paths, depth-first search and breadth-first search algorithms on massive directed dense graphs (V,E) with E = Omega (V^(1+epsilon)), epsilon &gt; 0 and V = Omega (M), which is equal to the I/O-optimal bound for sorting E values in external memory.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>John Iacono and Riko Jacob and Konstantinos Tsakalidis</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 144, 27th Annual European Symposium on Algorithms (ESA 2019)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ESA.2019.60</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-111817</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2019.60</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/3.0/legalcode</dc:rights>
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