activity
20172022
most citedBlocking Techniques for Sparse Matrix Multiplication on Tensor Accelerators

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.DC2022

Asynchronous Distributed-Memory Triangle Counting and LCC with RMA Caching

András Strausz, Flavio Vella, Salvatore Di Girolamo +2

Triangle count and local clustering coefficient are two core metrics for graph analysis. They find broad application in analyses such as community detection and link recommendation…

cs.DC20221 cited

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…

cs.AI2019

GPU-based parallelism for ASP-solving

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. Thanks to the availability of efficient solvers, ASP…

cs.DS2019

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…

cs.DC2017

Accelerating Energy Games Solvers on Modern Architectures

Andrea Formisano, Raffaella Gentilini, Flavio Vella

Quantitative games, where quantitative objectives are defined on weighted game arenas, provide natural tools for designing faithful models of embedded controllers. Instances of the…