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cs.LG2026
High-Performance Tensor Formulation of the Viterbi Algorithm for Hidden Semi-Markov Models
Lorenzo Piarulli, Elia Belli, Daniele De Sensi
Hidden Semi-Markov Models (HSMMs) are fundamental probabilistic models widely adopted across diverse domains, from computational biology to finance and signal processing. The Viter…
cs.DC2026
Characterizing the Scalability and Performance of Large-Scale AI Training Under Multi-Tenancy
Jacopo Raffi, Thomas Pasquali, Lorenzo Piarulli +6
Characterising AI workload performance on modern HPC systems requires understanding both their scalability in isolation and their behaviour under concurrent execution. However, the…