13 citations · 14 across the 4 of their papers we have counts for
4 papers · 1 filter
Multi-GPU aggregation-based AMG preconditioner for iterative linear solvers
Massimo Bernaschi, Alessandro Celestini, Pasqua D'Ambra +1
We present and release in open source format a sparse linear solver which efficiently exploits heterogeneous parallel computers. The solver can be easily integrated into scientific…
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…
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…
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…