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Sharing GPUs and Programmable Switches in a Federated Testbed with SHARY by Salsano, Stefano; Mayer, Andrea; Lungaroni, Paolo; Loreti, Pierpaolo; Bracciale, Lorenzo; Detti, Andrea; Orazi, Marco; Giaccone, Paolo; Risso, Fulvio; Cornacchia, Alessandro; Chiasserini, Carla Fabiana is a scholarly article available to read on EtoBox.

What is Sharing GPUs and Programmable Switches in a Federated Testbed with SHARY about?

Federated testbeds enable collaborative research by providing access to diverse resources, including computing power, storage, and specialized hardware like GPUs, programmable switches and smart Network Interface Cards (NICs). Efficiently sharing these resources across federated institutions is challenging, particularly when resources are scarce and costly. GPUs are crucial for AI and machine learning research, but their high demand and expense make efficient management essential. Similarly, advanced experimentation on programmable data plane requires very expensive programmable switches (e.g., based on P4) and smart NICs. This paper introduces SHARY (SHaring Any Resource made easY), a dynamic reservation system that simplifies resource booking and management in federated environments. We show that SHARY can be adopted for heterogenous resources, thanks to an adaptation layer tailored for the specific resource considered. Indeed, it can be integrated with FIGO (Federated Infrastructure for GPU Orchestration), which enhances GPU availability through a demand-driven sharing model. By enabling real-time resource sharing and a flexible booking system, FIGO improves access to GPUs, redu

Author

Salsano, Stefano; Mayer, Andrea; Lungaroni, Paolo; Loreti, Pierpaolo; Bracciale, Lorenzo; Detti, Andrea; Orazi, Marco; Giaccone, Paolo; Risso, Fulvio; Cornacchia, Alessandro; Chiasserini, Carla Fabiana

Published

2025

Language

EN