8 citations · 20 across the 28 of their papers we have counts for
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cs.DC2026
Engineering Low-Latency, High-Throughput Quantum Decoders on NVIDIA GPUs
Stefano Markidis, Luca Pennati, Ivy Peng
We design and optimize a quantum error correction (QEC) decoder for NVIDIA GPUs, combining Relay belief propagation, a state-of-the-art message-passing algorithm, with order-zero o…
cs.DC2026
Making Room for AI: Multi-GPU Molecular Dynamics with Deep Potentials in GROMACS
Luca Pennati, Andong Hu, Ivy Peng +2
GROMACS is a de-facto standard for classical Molecular Dynamics (MD). The rise of AI-driven interatomic potentials that pursue near-quantum accuracy at MD throughput now poses a si…
cs.DC2026
Enabling AI Deep Potentials for Ab Initio-quality Molecular Dynamics Simulations in GROMACS
Andong Hu, Luca Pennati, Stefano Markidis +1
State-of-the-art AI deep potentials provide ab initio-quality results, but at a fraction of the computational cost of first-principles quantum mechanical calculations, such as dens…