no code implementations • 9 Dec 2022 • Damiano Perri, Paolo Sylos Labini, Osvaldo Gervasi, Sergio Tasso, Flavio Vella
Emerging applications such as Deep Learning are often data-driven, thus traditional approaches based on auto-tuners are not performance effective across the wide range of inputs used in practice.
no code implementations • 4 Sep 2019 • Agostino Dovier, Andrea Formisano, Flavio Vella
Answer Set Programming (ASP) has become, the paradigm of choice in the field of logic programming and non-monotonic reasoning.
no code implementations • 19 Aug 2019 • Rezaul Chowdhury, Francesco Silvestri, Flavio Vella
To respond to the need of efficient training and inference of deep neural networks, a plethora of domain-specific hardware architectures have been introduced, such as Google Tensor Processing Units and NVIDIA Tensor Cores.
2 code implementations • 22 Sep 2016 • Edgar Solomonik, Maciej Besta, Flavio Vella, Torsten Hoefler
Betweenness centrality (BC) is a crucial graph problem that measures the significance of a vertex by the number of shortest paths leading through it.
Distributed, Parallel, and Cluster Computing Discrete Mathematics Mathematical Software G.1.0; G.2.2
no code implementations • 2 Feb 2016 • Flavio Vella, Giancarlo Carbone, Massimo Bernaschi
Betweenness Centrality (BC) is steadily growing in popularity as a metrics of the influence of a vertex in a graph.
Distributed, Parallel, and Cluster Computing Data Structures and Algorithms Social and Information Networks
