Time |
Talk Title |
Presenter |
10:00 ~ 10:15 |
Opening Ceremony |
KAIST / PHoijun Yoo (Professor) |
10:15 ~ 10:50 |
Deep Neural Network SoCs: Bringing deep learning to mobile devices |
UX Factory / Junyoung Park (CEO) |
10:50 ~ 11:40 |
Eyeriss: An Energy-Efficient Reconfigurable Accelerator And Dataflow for Deep CNNs |
MIT / Prof. Vivienne Sze |
11:40 ~ 13:10 |
Lunch |
– |
13:10 ~ 14:00 |
Study of hardware neural networks: DianNao Family |
Chinese Academy of Science / Prof. Zidong Du |
14:00 ~ 14:50 |
Accelerating Deep convolutional Neural Networks Using Specialized Hardware In the Datacenter |
Microsoft Research / Dr. Joo-Young Kim |
14:50 ~ 15:40 |
Approximate Computing: Energy-efficient Software/Hardware Optimization for Future Workloads |
IBM Research / Dr. Jinwook oh |
15:40 ~ 15:50 |
Coffee Break |
|
15:50 ~ 16:40 |
A Design Method for a Deep Neural Network on an FPGA |
Tokyo Institute of Technology / Prof. Hiroki Nakahara |
16:40 ~ 17:30 |
An energy-scalable convolutional Neural Network Processor exploiting Dynamically- scalable approximate computing |
KU Leuven / Prof. Marian Verhelst |
–
Copyright ⓒ 2015 KAIST Electrical Engineering. All rights reserved. Made by PRESSCAT
Copyright ⓒ 2015 KAIST Electrical Engineering. All rights reserved. Made by PRESSCAT
Copyright ⓒ 2015 KAIST Electrical
Engineering. All rights reserved.
Made by PRESSCAT