Flavio Vella
Biography
Dr. Flavio Vella is an assistant professor at the University of Trento.
His research interests include parallel computing, graph analysis and scalable machine learning with an emphasis on GPU programming and Big-Data.
Previously, he had industry experience as a Research Engineer at Dividiti (UK) and as an intern at Nvidia (US).
He was also an Assistant Professor at the Free University of Bozen, visiting researcher at Scalable Computing Lab at ETH and a Post-Doc at the National Research Council of Italy (CNR).
He received his PhD in Computer Science from Sapienza, the University of Rome in 2017 with the focus on designing graph analytics on modern massively parallel systems. Dr. Vella, is also an active member of artifact evaluation initiatives for premier venues such as PPoPP, Computing Frontiers and IA3@IEEE SC.
His research interests include parallel computing, graph analysis and scalable machine learning with an emphasis on GPU programming and Big-Data.
Previously, he had industry experience as a Research Engineer at Dividiti (UK) and as an intern at Nvidia (US).
He was also an Assistant Professor at the Free University of Bozen, visiting researcher at Scalable Computing Lab at ETH and a Post-Doc at the National Research Council of Italy (CNR).
He received his PhD in Computer Science from Sapienza, the University of Rome in 2017 with the focus on designing graph analytics on modern massively parallel systems. Dr. Vella, is also an active member of artifact evaluation initiatives for premier venues such as PPoPP, Computing Frontiers and IA3@IEEE SC.
Presentations
Paper
Recorded
Big Data
Computational Science
TP
Best Paper Finalist
Workshop
Recorded
Accelerator-based Architectures
Algorithms
Architectures
Big Data
Data Analytics
Parallel Programming Languages and Models
Productivity Tools
W