1 citations · 1 across the 3 of their papers we have counts for
3 papers
SeT-Diff: Towards Semantic Foundation Models for HPC Telemetry and Time-Series
Giovanni B. Esposito, Francesco Antici, Daniele Cesarini +1
Data centers and their compute nodes require accurate and flexible digital twins capable of modeling the complex interplay of workloads, environmental parameters, and physical metr…
SweetSpot: An Analytical Model for Predicting Energy Efficiency of LLM Inference
Hiari Pizzini Cavagna, Andrea Proia, Giacomo Madella +5
Large Language Models (LLMs) inference is central to modern AI applications, dominating worldwide datacenter workloads, making it critical to predict its energy footprint. Existing…
Assessing Tenstorrent's RISC-V MatMul Acceleration Capabilities
Hiari Pizzini Cavagna, Daniele Cesarini, Andrea Bartolini
The increasing demand for generative AI as Large Language Models (LLMs) services has driven the need for specialized hardware architectures that optimize computational efficiency a…