1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Demand Layering for Real-Time DNN Inference with Minimized Memory Usage
Mingoo Ji, Saehanseul Yi, Changjin Koo +4
When executing a deep neural network (DNN), its model parameters are loaded into GPU memory before execution, incurring a significant GPU memory burden. There are studies that redu…
math.OC2021★ 1 cited
Energy-Efficient Adaptive System Reconfiguration for Dynamic Deadlines in Autonomous Driving
Saehanseul Yi, Tae-Wook Kim, Jong-Chan Kim +1
The increasing computing demands of autonomous driving applications make energy optimizations critical for reducing battery capacity and vehicle weight. Current energy optimization…