1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.DC2023★ 1 cited
A Generic Performance Model for Deep Learning in a Distributed Environment
Tulasi Kavarakuntla, Liangxiu Han, Huw Lloyd +3
Performance modelling of a deep learning application is essential to improve and quantify the efficiency of the model framework. However, existing performance models are mostly cas…
cs.DC2022
Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning
Samson B. Akintoye, Liangxiu Han, Huw Lloyd +4
Deep Neural Network (DNN) models are usually trained sequentially from one layer to another, which causes forward, backward and update locking's problems, leading to poor performan…