Publications

Filters: Author is Alexandros Koliousis  [Clear All Filters]
2019
Crossbow: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers, Alexandros Koliousis, Pijika Watcharapichat, Matthias Weidlich, Luo Mai, Paolo Costa and Peter Pietzuch , 45th International Conference on Very Large Data Bases (VLDB), 08/2019, Volume 11, Los Angelos, CA, USA, (2019)  (1.02 MB)
2018
CrossBow: Scaling Deep Learning on Multi-GPU Servers, Alexandros Koliousis, Pijika Watcharapichat, Matthias Weidlich, Paolo Costa and Peter Pietzuch , Inaugural SysML Conference, 01/2018, Palo Alto, CA, USA, (2018)  (394.71 KB)
Hammer Slide: Work- and CPU-efficient Streaming Window Aggregation, Georgios Theodorakis, Alexandros Koliousis, Peter Pietzuch and Holger Pirk , 9th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures (ADMS), 09/2018, Rio de Janeiro, Brazil, (2018)  (581.33 KB)
2016
The SABER System for Window-Based Hybrid Stream Processing with GPGPUs (Demo), Alexandros Koliousis, Matthias Weidlich, Raul Castro Fernandez, Alexander L. Wolf, Paolo Costa and Peter Pietzuch , 10th ACM International Conference on Distributed and Event-Based Systems (DEBS), 06/2016, Irvine, CA, (2016)  (4.88 MB)
SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures, Alexandros Koliousis, Matthias Weidlich, Raul Castro Fernandez, Paolo Costa, Alexander L. Wolf and Peter Pietzuch , ACM International Conference on Management of Data (SIGMOD), 06/2016, San Francisco, CA, USA, (2016)  (1.02 MB)