Bonaventura Del Monte

According to our database1, Bonaventura Del Monte authored at least 12 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Hardware-conscious techniques for efficient and reliable stateful stream processing.
PhD thesis, 2023

Towards Unifying Query Interpretation and Compilation.
Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

2022
Rethinking Stateful Stream Processing with RDMA.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines [Abstract].
Proceedings of the LWDA 2022 Workshops: FGWM, 2022

2020
NebulaStream: Complex Analytics Beyond the Cloud.
Open J. Internet Things, 2020

Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines.
Proceedings of the 2020 International Conference on Management of Data, 2020

The NebulaStream Platform for Data and Application Management in the Internet of Things.
Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019
Analyzing Efficient Stream Processing on Modern Hardware.
Proc. VLDB Endow., 2019

On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engines.
Proceedings of the Datenbanksysteme für Business, 2019

2017
Efficient Migration of Very Large Distributed State for Scalable Stream Processing.
Proceedings of the VLDB 2017 PhD Workshop co-located with the 43rd International Conference on Very Large Databases (VLDB 2017), 2017

PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization.
Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017), 2017

2016
A scalable GPU-enabled framework for training deep neural networks.
Proceedings of the 2nd International Conference on Green High Performance Computing, 2016


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