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Mageirakos, Vasilis
6  Ergebnisse:
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1

Preparing Distributed Computing Operations for the HL-LHC E..:

Di Girolamo, Alessandro ; Legger, Federica ; Paparrigopoulos, Panos...
Frontiers in Big Data.  4 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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2

Efficient GPU-accelerated Join Optimization for Complex Que..:

, In: 2022 IEEE 38th International Conference on Data Engineering (ICDE),
Mageirakos, Vasilis ; Mancini, Riccardo ; Karthik, Srinivas.. - p. 3190-3193 , 2022
Link: https://doi.org/10.1109/..
 
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3

Efficient Massively Parallel Join Optimization for Large Qu..:

, In: Proceedings of the 2022 International Conference on Management of Data,
Mancini, Riccardo ; Karthik, Srinivas ; Chandra, Bikash.. - p. 122-135 , 2022
Link: https://dl.acm.org/doi/1..
 
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4

Repeated Random Sampling for Minimizing the Time-to-Accurac..:

Okanovic, Patrik ; Waleffe, Roger ; Mageirakos, Vasilis...
http://arxiv.org/abs/2305.18424.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

Efficient Massively Parallel Join Optimization for Large Qu..:

Mancini, Riccardo ; Karthik, Srinivas ; Chandra, Bikash..
http://arxiv.org/abs/2202.13511.  , 2022
Link: http://arxiv.org/abs/220..
 
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6

Preparing Distributed Computing Operations for the HL-LHC E..:

Alessandro Di Girolamo ; Federica Legger ; Panos Paparrigopoulos...
https://www.frontiersin.org/articles/10.3389/fdata.2021.753409/full.  , 2022
Link: https://doi.org/10.3389/..
 
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