Eiger: An Efficient Library for GPU-based Data Analytics
Wu, B., Kabić, M., Hepkema, S., Mageirakos, V. , Kozyrakis, C., & Alonso, G. (2026). Eiger: An Efficient Library for GPU-based Data Analytics. arXiv preprint arXiv:2607.04489.
Wu, B., Kabić, M., Hepkema, S., Mageirakos, V. , Kozyrakis, C., & Alonso, G. (2026). Eiger: An Efficient Library for GPU-based Data Analytics. arXiv preprint arXiv:2607.04489.
Mageirakos, V. , André, J., Kabić, M., Wu, B., Chronis, Y., & Alonso, G. (2026). To GPU or Not to GPU: Vector Search in Relational Engines. arXiv preprint arXiv:2605.15957.
Mageirakos, V. , Wu, B., & Alonso, G. (2025). Cracking Vector Search Indexes. Proceedings of the VLDB Endowment, 18(11).
Okanovic, P., Waleffe, R., Mageirakos, V. , Nikolakakis, K. E., Karbasi, A., Kalogerias, D., ... & Rekatsinas, T. (2024). Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning. In International Conference on Learning Representations (ICLR).
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).
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.
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