SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures
Summary: SABER is a window-based streaming engine for CPUs and GPUs, enabling data-parallel streaming SQL. Adaptive lookahead scheduling maps work to the device; pipelined CPU-GPU transfers hide movement, boosting throughput with low latency across windows. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Alexandros Koliousis (Imperial College London)
- 2. Matthias Weidlich (Humboldt University of Berlin; Imperial College London)
- 3. Raul Castro Fernandez (Imperial College London)
- 4. Alexander L. Wolf (Imperial College London)
- 5. Paolo Costa (Microsoft)
- 6. Peter Pietzuch (Imperial College London)
BibTeX Citation
@inproceedings{koliousis_sigmod16,
title = {{SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures}},
author = {Koliousis, Alexandros and Weidlich, Matthias and Fernandez, Raul Castro and Wolf, Alexander L. and Costa, Paolo and Pietzuch, Peter},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2882906},
url = {https://dl.acm.org/doi/10.1145/2882903.2882906},
year = {2016}
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