Vasilis Mageirakos

According to our database, Vasilis Mageirakos authored at least 6 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

To GPU or Not to GPU: Vector Search in Relational Engines.

Vasilis Mageirakos, Joel André, Marko Kabic, Bowen Wu, Yannis Chronis, Gustavo Alonso

CoRR, May, 2026

2025

Cracking Vector Search Indexes.

Vasilis Mageirakos, Bowen Wu, Gustavo Alonso

Proc. VLDB Endow., July, 2025

2024

Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning.

Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos E. Nikolakakis, Amin Karbasi, Dionysios S. Kalogerias, Nezihe Merve Gürel, Theodoros Rekatsinas

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Efficient Massively Parallel Join Optimization for Large Queries.

Riccardo Mancini, Srinivas Karthik, Bikash Chandra, Vasilis Mageirakos, Anastasia Ailamaki

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Efficient GPU-accelerated Join Optimization for Complex Queries.

Vasilis Mageirakos, Riccardo Mancini, Srinivas Karthik, Bikash Chandra, Anastasia Ailamaki

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence.

Alessandro Di Girolamo, Federica Legger, Panos Paparrigopoulos, Jaroslava Schovancová, Thomas Beermann, Michael Boehler, Daniele Bonacorsi, Luca Clissa, Leticia Decker de Sousa, Tommaso Diotalevi, Luca Giommi, Maria Grigorieva, Domenico Giordano, David Hohn, Tomas Javurek, Stephane Jezequel, Valentin Kuznetsov, Mario Lassnig, Vasilis Mageirakos, Micol Olocco, Siarhei Padolski, Matteo Paltenghi, Lorenzo Rinaldi, Mayank Sharma, Simone Rossi Tisbeni, Nikodemas Tuckus

Frontiers Big Data, 2021