27: Algorithmen II, Vorlesung, WS 2018/19, 28.01.2019
Autor
Dominik Schreiber, Sebastian Lamm, Sebastian Schlag, Tobias Maier
Herausgeber
Beteiligtes Institut
Institut für Theoretische Informatik (ITI)
Genre
Beschreibung
- 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
Laufzeit (hh:mm:ss)
01:26:15
Serie
Algorithmen II, Vorlesung, WS 2018/19
Publiziert am
29.01.2019
Fachgebiet
Lizenz
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