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Author

Daniele De Sensi

3 papers indexed here

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Book Open access Sep 2026

XDP_CLONE: Efficient In-Driver Packet Duplication for eBPF-Accelerated Systems

The eBPF eXpress Data Path (XDP) enables high-performance packet processing by executing programmable logic early in the Linux networking stack. However, XDP does not support packet duplication, a key requirement for publish-subscribe systems and high-performance computing (HPC) applications relying on message broadcas...

Marco Mazzella, Vladimiro Paschali, Francesco Fazzari et al. · 0 citations
#machine learning Preprint Sep 2026

High-Performance Tensor Formulation of the Viterbi Algorithm for Hidden Semi-Markov Models

This work presents a tensor-based formulation of the Viterbi algorithm for HSMMs, restructuring the inner loops into tensor operations that naturally map onto SIMD units and massively parallel architectures and provides optimized implementations spanning single- and multi-core CPUs, and, for the first time, GPU.

Lorenzo Piarulli, E. Belli, D. De Sensi · 0 citations
Preprint Sep 2026

Characterizing the Scalability and Performance of Large-Scale AI Training Under Multi-Tenancy

Characterising AI workload performance on modern HPC systems requires understanding both their scalability in isolation and their behaviour under concurrent execution. However, the interplay among parallelisation strategies, network congestion, compute capability, and interconnect technologies remains poorly understood...

Jacopo Raffi, Thomas Pasquali, Lorenzo Piarulli et al. · 0 citations

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