35 citations · 36 across the 3 of their papers we have counts for
11 papers
Blocking Techniques for Sparse Matrix Multiplication on Tensor Accelerators
Paolo Sylos Labini, Massimo Bernaschi, Francesco Silvestri +1
Tensor accelerators have gained popularity because they provide a cheap and efficient solution for speeding up computational-expensive tasks in Deep Learning and, more recently, in…
On the Bike Spreading Problem
Elia Costa, Francesco Silvestri
A free-floating bike-sharing system (FFBSS) is a dockless rental system where an individual can borrow a bike and returns it anywhere, within the service area. To improve the renta…
Sampling a Near Neighbor in High Dimensions -- Who is the Fairest of Them All?
Martin Aumüller, Sariel Har-Peled, Sepideh Mahabadi +2
Similarity search is a fundamental algorithmic primitive, widely used in many computer science disciplines. Given a set of points and a radius parameter , the -near nei…
Similarity Search with Tensor Core Units
Thomas D. Ahle, Francesco Silvestri
Tensor Core Units (TCUs) are hardware accelerators developed for deep neural networks, which efficiently support the multiplication of two dense matrices,…
A Computational Model for Tensor Core Units
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…
Fair Near Neighbor Search: Independent Range Sampling in High Dimensions
Martin Aumüller, Rasmus Pagh, Francesco Silvestri
Similarity search is a fundamental algorithmic primitive, widely used in many computer science disciplines. There are several variants of the similarity search problem, and one of…