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          <dc:title>Consensus with Max Registers</dc:title>
          <dc:creator>Aspnes, James</dc:creator>
          <dc:creator>Er, He Yang</dc:creator>
          <dc:subject>consensus</dc:subject>
          <dc:subject>max register</dc:subject>
          <dc:subject>single-writer register</dc:subject>
          <dc:subject>oblivious adversary</dc:subject>
          <dc:subject>shared memory</dc:subject>
          <dc:description>We consider the problem of implementing randomized wait-free consensus from max registers under the assumption of an oblivious adversary. We show that max registers solve m-valued consensus for arbitrary m in expected O(log^* n) steps per process, beating the Omega(log m/log log m) lower bound for ordinary registers when m is large and the best previously known O(log log n) upper bound when m is small. A simple max-register implementation based on double-collect snapshots translates this result into an O(n log n) expected step implementation of m-valued consensus from n single-writer registers, improving on the best previously-known bound of O(n log^2 n) for single-writer registers.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>James Aspnes and He Yang Er</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 146, 33rd International Symposium on Distributed Computing (DISC 2019)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.DISC.2019.1</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-113088</dc:identifier>
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          <dc:language>eng</dc:language>
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