Search Results - "Mageirakos, Vasilis"

Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence by Di Girolamo, Alessandro, Legger, Federica, Paparrigopoulos, Panos, Schovancová, Jaroslava, Beermann, Thomas, Boehler, Michael, Bonacorsi, Daniele, Clissa, Luca, Decker de Sousa, Leticia, Diotalevi, Tommaso, Giommi, Luca, Grigorieva, Maria, Giordano, Domenico, Hohn, David, Javůrek, Tomáš, Jezequel, Stephane, Kuznetsov, Valentin, Lassnig, Mario, Mageirakos, Vasilis, Olocco, Micol, Padolski, Siarhei, Paltenghi, Matteo, Rinaldi, Lorenzo, Sharma, Mayank, Tisbeni, Simone Rossi, Tuckus, Nikodemas

“…As a joint effort from various communities involved in the Worldwide LHC Computing Grid, the Operational Intelligence project aims at increasing the level of…”
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Efficient GPU-accelerated Join Optimization for Complex Queries by Mageirakos, Vasilis, Mancini, Riccardo, Karthik, Srinivas, Chandra, Bikash, Ailamaki, Anastasia

“…Analytics on modern data analytic and data ware-house systems often need to run large complex queries on increasingly complex database schemas. A lot of…”
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Efficient Massively Parallel Join Optimization for Large Queries by Mancini, Riccardo, Karthik, Srinivas, Chandra, Bikash, Mageirakos, Vasilis, Ailamaki, Anastasia

“…Modern data analytical workloads often need to run queries over a large number of tables. An optimal query plan for such queries is crucial for being able to…”
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Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning by Okanovic, Patrik, Waleffe, Roger, Mageirakos, Vasilis, Nikolakakis, Konstantinos E, Karbasi, Amin, Kalogerias, Dionysis, Gürel, Nezihe Merve, Rekatsinas, Theodoros

“…Methods for carefully selecting or generating a small set of training data to learn from, i.e., data pruning, coreset selection, and data distillation, have…”
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