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Email:
andreas.lang
tu-dortmund.de
Phone: 0231/755-6093 Fax: 0231/755-5105 Room-No.: OH14 R336 |
| Lang/Schubert/2021a |
Andreas Lang and Erich Schubert.
BETULA: Fast Clustering of Large Data with Improved BIRCH CF-Trees.
In
Information Systems,
Vol. 108,
pages 101918,
2022.
|
| Schubert/etal/2021a |
Erich Schubert and Andreas Lang and Gloria Feher.
Accelerating Spherical k-Means.
In
Similarity Search and Applications - 14th International Conference, SISAP 2021, Dortmund, Germany, September 29 - October 1, 2021, Proceedings,
Vol. 13058,
pages 217--231,
Springer,
2021.
|
| Lang/Schubert/2020a |
Andreas Lang and Erich Schubert.
BETULA: Numerically Stable CF-Trees for BIRCH Clustering.
In
Proceedings of the 13th International Conference on Similarity Search and Applications SISAP 2020, Copenhagen, Denmark,
pages 281--296,
2020.
|
| Kotthaus/etal/2019b |
Kotthaus, Helena and Schönberger, Lea and Lang, Andreas and Chen, Jian-Jia and Marwedel, Peter.
Can Flexible Multi-Core Scheduling Help to Execute Machine Learning Algorithms Resource-Efficiently?.
In
22nd International Workshop on Software and Compilers for Embedded Systems,
pages 59-62,
ACM,
2019.
|
| Kotthaus/etal/2018a | Kotthaus, Helena and Lang, Andreas and Marwedel, Peter. Optimizing Parallel R Programs via Dynamic Scheduling Strategies. In Abstract Booklet of the International R User Conference (UseR!), Brisbane, Australia, 2018. |
| Lang/2019a | Lang, Andreas. Ablaufplanungsverfahren zur effizienten Ressourcennutzung bei der Algorithmenkonfiguration von maschinellen Lernverfahren. TU Dortmund, 2018. |
| Kotthaus/2017b |
Kotthaus, Helena and Lang, Andreas and Neugebauer, Olaf and Marwedel, Peter.
R goes Mobile: Efficient Scheduling for Parallel R Programs on Heterogeneous Embedded Systems.
In
Abstract Booklet of the International R User Conference (UseR!),
pages 74,
Brussels, Belgium,
2017.
|
| Kotthaus/etal/2017a |
Kotthaus, Helena and Richter, Jakob and Lang, Andreas and Thomas, Janek and Bischl, Bernd and Marwedel, Peter and Rahnenführer, Jörg and Lang, Michel.
RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization.
In
Procs. of the 11th LION,
pages 180-195,
2017.
|
| Kotthaus/etal/2016a |
Kotthaus, Helena and Richter, Jakob and Lang, Andreas and Lang, Michel and Marwedel, Peter.
Resource-Aware Scheduling Strategies for Parallel Machine Learning R Programs through RAMBO.
In
Abstract Booklet of the International R User Conference (UseR!),
pages 195,
Stanford University, Palo Alto, California,
2016.
|
| Lang/2016a | Lang, Andreas. Ressourcengewahre Ablaufplanungsverfahren für modellbasierte Optimierungen. TU Dortmund, 2016. |