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          <dc:title>Brief Announcement: Memory Efficient Massively Parallel Algorithms for LCL Problems on Trees</dc:title>
          <dc:creator>Brandt, Sebastian</dc:creator>
          <dc:creator>Latypov, Rustam</dc:creator>
          <dc:creator>Uitto, Jara</dc:creator>
          <dc:subject>Distributed computing</dc:subject>
          <dc:subject>Locally checkable labeling problems</dc:subject>
          <dc:subject>Trees</dc:subject>
          <dc:subject>Massively Parallel Computation</dc:subject>
          <dc:subject>Sublinear memory</dc:subject>
          <dc:subject>3-coloring</dc:subject>
          <dc:description>We establish scalable Massively Parallel Computation (MPC) algorithms for a family of fundamental graph problems on trees. We give a general method that, for a wide range of LCL problems, turns their message passing counterparts into exponentially faster algorithms in the sublinear MPC model. In particular, we show that any LCL on trees that has a deterministic complexity of O(n) in the LOCAL model can be sped up to O(log n) (high-complexity regime) in the sublinear MPC model and similarly n^{o(1)} to O(log log n) (intermediate-complexity regime). We emphasize, that we work on bounded degree trees and all of our algorithms work in the sublinear MPC model, where local memory is O(n^δ) for δ &lt; 1 and global memory is O(m). &#13;
For the high-complexity regime, one key ingredient is a novel pointer-chain technique and analysis that allows us to solve any solvable LCL on trees with a sublinear MPC algorithm with complexity O(log n). For the intermediate-complexity regime, we adapt the approach by Chang and Pettie [FOCS'17], who gave a canonical algorithm for solving LCL problems on trees in the LOCAL model. For the special case of 3-coloring trees, which is a natural LCL problem, we provide a conditional Ω(log log n) lower bound, implying that solving LCL problems on trees with deterministic LOCAL complexity n^{o(1)} requires Θ(log log n) deterministic time in the sublinear MPC model when using a natural family of component-stable algorithms.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Sebastian Brandt and Rustam Latypov and Jara Uitto</dc:contributor>
          <dc:date>2021</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 209, 35th International Symposium on Distributed Computing (DISC 2021)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.DISC.2021.50</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-148521</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2021.50</dc:identifier>
          <dc:language>eng</dc:language>
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