시간 |
프로그램 |
발표자 |
Session 1 |
Chair : Prof. Byeong-Gyu Nam (Chungnam National University) |
10:00~10:10 |
Opening Remark |
KAIST prof. Hoi jun Yoo |
10:10~10:20 |
Opening Speech |
KAIST Vice president |
10:20~11:00 |
Deep Neural Network SoCs |
UX Factory Junyoung park |
11:00~11:50 |
Eyeriss:An Energy-Efficient Reconfigurable Accelerator and dataflow for Deep CNNs |
MIT Prof.Vivienne Sze |
11:50~13:30 |
LUNCH |
|
Session 2 |
Chair : Prof. Hoi Jun Yoo (KAIST) |
13:30~14:20 |
Accelerating Deep Convolutional Neural Networks Using Specialized Hardware In the Datacenter |
Microsoft Dr. Joo-Young Kim |
14:20~15:10 |
Approximate Computing for Deep Neural Network |
IBM Dr. Jinwook oh |
15:10~15:30 |
Coffee Break |
|
15:30~16:20 |
A Design Method for a Deep Neural Network on an FPGA |
Tokyo Institute of Technology prof. Hiroki Nakahara |
16:20~17:10 |
An energy-scalable convolutional Neural Network Processor exploiting Dynamically-scalable approximate computing |
KU Leuven Prof. Marian Verhelst |