1 hr 26 min

27: Algorithmen II, Vorlesung, WS 2018/19, 28.01.2019 Algorithmen 2, Vorlesung, WS18/19

    • Courses

28 |
0:00:00 Start
0:00:05 Einleitung
0:00:28 Dominik Schreiber - SAT Solving and Automated Planning
0:00:41 Overview
0:01:51 The SAT Problem
0:03:39 SAT Solving
0:05:06 Parallel SAT Solving
0:09:30 Automated Planning
0:13:20 SAT-based Planning
0:17:44 Outlook: Future Research and Teaching
0:23:16 Sebastian Lamm - Distributed Connected Components
0:23:45 Connected Components and Applications
0:25:23 Sequential Algorithms
0:26:16 General Framework
0:29:04 All-Reduce (AR) - Algorithm
0:31:14 Union-find merging (UFM)
0:35:26 Graph Contraction (GC) - Algorithm
0:38:21 Label Propagation (LP)
0:40:44 Comparison
0:43:14 Conclusion
0:44:40 Sebastion Schlag - High Quality Hypergraph Partitioning
0:47:24 Applications
0:48:57 Parallel Sparse-Matrix Vector Product (SpM x V)
0:52:09 From SpM x V to Hypergraph Partitioning
0:56:33 How does Hypergraph Partitioning work?
0:59:27 Taxonomy of Hypergraph Partitioning Tools
1:01:07 Why Yet Another Multilevel Algorithm?
1:05:30 Latest Experimental Results
1:08:45 KaHyPar - Karlsruhe Hypergraph Partitioning
1:10:20 Tobias Maier - Parallele Algorithmen - Einschub Shared Memory Datenstrukturen
1:12:12 Concurrent Hash Table
1:17:19 Migration als Lösung
1:20:33 Vergrößern der Hash Tabelle
1:24:09 Deallocation Problem

28 |
0:00:00 Start
0:00:05 Einleitung
0:00:28 Dominik Schreiber - SAT Solving and Automated Planning
0:00:41 Overview
0:01:51 The SAT Problem
0:03:39 SAT Solving
0:05:06 Parallel SAT Solving
0:09:30 Automated Planning
0:13:20 SAT-based Planning
0:17:44 Outlook: Future Research and Teaching
0:23:16 Sebastian Lamm - Distributed Connected Components
0:23:45 Connected Components and Applications
0:25:23 Sequential Algorithms
0:26:16 General Framework
0:29:04 All-Reduce (AR) - Algorithm
0:31:14 Union-find merging (UFM)
0:35:26 Graph Contraction (GC) - Algorithm
0:38:21 Label Propagation (LP)
0:40:44 Comparison
0:43:14 Conclusion
0:44:40 Sebastion Schlag - High Quality Hypergraph Partitioning
0:47:24 Applications
0:48:57 Parallel Sparse-Matrix Vector Product (SpM x V)
0:52:09 From SpM x V to Hypergraph Partitioning
0:56:33 How does Hypergraph Partitioning work?
0:59:27 Taxonomy of Hypergraph Partitioning Tools
1:01:07 Why Yet Another Multilevel Algorithm?
1:05:30 Latest Experimental Results
1:08:45 KaHyPar - Karlsruhe Hypergraph Partitioning
1:10:20 Tobias Maier - Parallele Algorithmen - Einschub Shared Memory Datenstrukturen
1:12:12 Concurrent Hash Table
1:17:19 Migration als Lösung
1:20:33 Vergrößern der Hash Tabelle
1:24:09 Deallocation Problem

1 hr 26 min

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