perf4sight: A toolflow to model CNN training performance on Edge GPUs

12 August 2021

Papers citing "perf4sight: A toolflow to model CNN training performance on Edge GPUs"

4 / 4 papers shown

Title
Towards Universal Performance Modeling for Machine Learning Training on Multi-GPU Platforms Zhongyi Lin Ning Sun Pallab Bhattacharya Xizhou Feng Louis Feng John Douglas Owens 25 1 0 19 Apr 2024
Low-Cost On-device Partial Domain Adaptation (LoCO-PDA): Enabling efficient CNN retraining on edge devices A. Rajagopal C. Bouganis 17 0 0 01 Mar 2022
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs Zhongyi Lin Louis Feng E. K. Ardestani Jaewon Lee J. Lundell Changkyu Kim A. Kejariwal John Douglas Owens 14 18 0 19 Jan 2022
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation Ilias Leontiadis Stefanos Laskaridis Stylianos I. Venieris Nicholas D. Lane 63 29 0 02 Feb 2021