no code implementations • 22 Dec 2017 • Xianzhi Du, Xiaolong Wang, Dawei Li, Jingwen Zhu, Serafettin Tasci, Cameron Upright, Stephen Walsh, Larry Davis
Compared to the general semantic segmentation problem, portrait segmentation has higher precision requirement on boundary area.
no code implementations • 19 Nov 2016 • Steven Eliuk, Cameron Upright, Hars Vardhan, Stephen Walsh, Trevor Gale
The paper presents a parallel math library, dMath, that demonstrates leading scaling when using intranode, internode, and hybrid-parallelism for deep learning (DL).
no code implementations • 5 Apr 2016 • Steven Eliuk, Cameron Upright, Anthony Skjellum
A new scalable parallel math library, dMath, is presented in this paper that demonstrates leading scaling when using intranode, or internode, hybrid-parallelism for deep-learning.