22 citations · 22 across the 3 of their papers we have counts for
3 papers
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…
Accelerating the Particle-In-Cell code ECsim with OpenACC
Elisabetta Boella, Nitin Shukla, Filippo Spiga +3
The Particle-In-Cell (PIC) method is a computational technique widely used in plasma physics to model plasmas at the kinetic level. In this work, we present our effort to prepare t…
Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects
Daniele De Sensi, Lorenzo Pichetti, Flavio Vella +11
Multi-GPU nodes are increasingly common in the rapidly evolving landscape of exascale supercomputers. On these systems, GPUs on the same node are connected through dedicated networ…