activity
20222026
most citedEnergy Consumption of Neural Networks on NVIDIA Edge Boards: an Empirical Model

22 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2026

Flux: Optimal Scheduling of Optical Circuit Switches for LLM Training

Arno Troch, Seyyidahmed Lahmer, Abubakr Nada +2

Optical Circuit Switching (OCS) offers high bandwidth density and energy efficiency for LLM training, but incurs a non-negligible reconfiguration delay. Prior work typically schedu…

cs.AR2025

Synapse: Virtualizing Match Tables in Programmable Hardware

Seyyidahmed Lahmer, Angelo Tulumello, Alessandro Rivitti +2

Efficient network packet processing increasingly demands dynamic, adaptive, and run-time resizable match table allocation to handle the diverse and heterogeneous nature of traffic…

cs.NI2023

Fast Context Adaptation in Cost-Aware Continual Learning

Seyyidahmed Lahmer, Federico Mason, Federico Chiariotti +1

In the past few years, DRL has become a valuable solution to automatically learn efficient resource management strategies in complex networks with time-varying statistics. However,…

cs.NI2022

The Cost of Learning: Efficiency vs. Efficacy of Learning-Based RRM for 6G

Seyyidahmed Lahmer, Federico Chiariotti, Andrea Zanella

In the past few years, Deep Reinforcement Learning (DRL) has become a valuable solution to automatically learn efficient resource management strategies in complex networks. In many…

cs.LG2022★ 22 cited

Energy Consumption of Neural Networks on NVIDIA Edge Boards: an Empirical Model

Seyyidahmed Lahmer, Aria Khoshsirat, Michele Rossi +1

Recently, there has been a trend of shifting the execution of deep learning inference tasks toward the edge of the network, closer to the user, to reduce latency and preserve data…