Publications

Filters: Author is Alexandros Koliousis  [Clear All Filters]
2020
LightSaber: Efficient Window Aggregation on Multi-core Processors
Georgios Theodorakis, Alexandros Koliousis, Peter Pietzuch, and Holger Pirk
ACM International Conference on Management of Data (SIGMOD), 2020
Portland, OR, USA
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), 2019
Volume 11, Los Angelos, CA, USA
Taming Hyper-Parameters in Deep Learning Systems
Luo Mai, Alexandros Koliousis, Guo Li, Andrei-Octavian Brabete, and Peter Pietzuch
ACM SIGOPS Operating Systems Review, 2019
Volume 53, Issue 1
2018
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), 2018
Rio de Janeiro, Brazil
CrossBow: Scaling Deep Learning on Multi-GPU Servers
Alexandros Koliousis, Pijika Watcharapichat, Matthias Weidlich, Paolo Costa, and Peter Pietzuch
Inaugural SysML Conference, 2018
Palo Alto, CA, USA
2016
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), 2016
San Francisco, CA, USA
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), 2016
Irvine, CA
Year of Publication