3 citations · 4 across the 10 of their papers we have counts for
3 papers · 1 filter
Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions
Huiyun Peng, Arjun Gupte, Nicholas John Eliopoulos +8
Energy-efficient software helps improve mobile device experiences and reduce the carbon footprint of data centers. However, energy goals are often de-prioritized in order to meet o…
Token Turing Machines are Efficient Vision Models
Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou +3
We propose Vision Token Turing Machines (ViTTM), an efficient, low-latency, memory-augmented Vision Transformer (ViT). Our approach builds on Neural Turing Machines and Token Turin…
Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge
Nick John Eliopoulos, Purvish Jajal, James C. Davis +3
This paper investigates how to efficiently deploy vision transformers on edge devices for small workloads. Recent methods reduce the latency of transformer neural networks by remov…