4 citations · 4 across the 5 of their papers we have counts for
4 papers · 1 filter
GPU-Accelerated Hypergraph Partitioning and Placement to Map SNNs on Neuromorphic Hardware
Marco Ronzani, Cristina Silvano
SNNs running on neuromorphic hardware use spikes to achieve sparse and energy-efficient communication over a mesh of cores. In turn, system performance heavily depends on the assig…
Hypergraph Partitioning on GPU with Distinct Incident Hyperedges and Size Constraints
Marco Ronzani, Cristina Silvano
Hypergraph partitioning is a recurring NP-hard problem in engineering; its efficient solution at scale hinges on parallelism. This work proposes a GPU-centric algorithm for multi-l…
Incidence Constraints in Hypergraph Partitioning on GPU
Marco Ronzani, Cristina Silvano
Hypergraph partitioning is a pervasive NP-hard problem, and accelerating its computation on GPU can both slice time-to-solution and raise quality of results. In this work, we imple…
Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach
Gianluca Palermo, Gianmarco Accordi, Davide Gadioli +32
Today digital revolution is having a dramatic impact on the pharmaceutical industry and the entire healthcare system. The implementation of machine learning, extreme-scale computer…