Vasilis Mageirakos

Vasilis Mageirakos

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Preparing distributed computing operations for the HL-LHC era with Operational Intelligence

Di Girolamo, A., Legger, F., Paparrigopoulos, P., Schovancová, J., Beermann, T., Boehler, M., Bonacorsi, D., Clissa, L., Decker de Sousa, L., Diotalevi, T., Giommi, L., Grigorieva, M., Giordano, D., Hohn, D., Javůrek, T., Jezequel, S., Kuznetsov, V., Lassnig, M., Mageirakos, V., Olocco, M., … Tuckus, N. (2022). Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence. Frontiers in big data, 4, 753409

Efficient GPU-accelerated Join Optimization for Complex Queries

Mageirakos, V., Mancini, R., Karthik, S., Chandra, B., & Ailamaki, A. (2022, May). Efficient GPU-accelerated Join Optimization for Complex Queries. In 2022 IEEE 38th International Conference on Data Engineering (ICDE) (pp. 3190-3193). IEEE.

Efficient Massively Parallel Join Optimization for Large Queries

Mancini, R., Karthik, S., Chandra, B., Mageirakos, V., & Ailamaki, A. (2022, June). Efficient massively parallel join optimization for large queries. In Proceedings of the 2022 International Conference on Management of Data (pp. 122-135).

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

Okanovic, P., Waleffe, R., Mageirakos, V. , Nikolakakis, K. E., Karbasi, A., Kalogerias, D., ... & Rekatsinas, T. (2023). Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning. arXiv preprint arXiv:2305.18424.

Cracking Vector Search Indexes

Mageirakos, V. , Wu, B., & Alonso, G. (2025). Cracking Vector Search Indexes. arXiv preprint arXiv:2503.01823.

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