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Author

Tommaso Cucinotta

2 papers indexed here

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Conference Sep 2026

Evaluating the Impact of GPU Partitioning on Kernel Execution Time

GPU acceleration has become a critical strategy to satisfy the increasing requirements for computational capacity in real-time high-performance embedded systems. In this paper, we investigate the problem of providing accurate timing estimations for GPU-accelerated functions in real-time systems, in a context where a GP...

Baptiste Escande, Federico Aromolo, Tommaso Cucinotta · 0 citations
#artificial intelligence Preprint Aug 2026

GRACE:Gradient-guided Coreset Selection for LLM Unlearning

GRACE, a gradient-guided coreset selection method that constructs both forget and retain sets for LLM unlearning, improves model utility while maintaining comparable forget quality, with particularly consistent gains over prior gradient-based selection methods.

Praveen Bushipaka, Andrea D'Angelo, Lucia C. Passaro et al. · 0 citations

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