37 citations · 37 across the 1 of their papers we have counts for
3 papers
cs.AI2026
Measuring the Inference Energy Efficiency of Open-Weight LLMs across Benchmarks, Reasoning Modes, and Hardware
Zeyu Yang, Wes Armour
Benchmark scores tell us what an LLM can do, but not how much energy is required to deliver that capability. We directly measure this trade-off for 86 open-weight model checkpoints…
cs.CV2024
Double-Exponential Increases in Inference Energy: The Cost of the Race for Accuracy
Zeyu Yang, Karel Adamek, Wesley Armour
Deep learning models in computer vision have achieved significant success but pose increasing concerns about energy consumption and sustainability. Despite these concerns, there is…
cs.DC2023★ 37 cited
Part-time Power Measurements: nvidia-smi's Lack of Attention
Zeyu Yang, Karel Adamek, Wesley Armour
The GPU has emerged as the go-to accelerator for high throughput and parallel workloads, spanning scientific simulations to AI, thanks to its performance and power efficiency. Give…