1 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
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…
A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning
Samson B. Akintoye, Liangxiu Han, Xin Zhang +2
Recently, Deep Neural Networks (DNNs) have recorded great success in handling medical and other complex classification tasks. However, as the sizes of a DNN model and the available…