MO2-7: Energy-Efficient solutions for neural networks and applications |
| Session Type: Virtual |
| Time: Monday, November 2, 13:00 - 14:20 |
| Virtual Session: View on Virtual Platform |
| Location: Room 7 |
| Session Chairs: Youngjoo Lee, POSTECH and Yanxiang Huang, NVIDIA |
| MO2-7-1: Hierarchical Approximate Memory for Deep Neural Network Applications |
| Minho Ha; Pohang University of Science and Technology |
| Seokha Hwang; Samsung Electronics |
| Jeonghun Kim; Pohang University of Science and Technology |
| Youngjoo Lee; Pohang University of Science and Technology |
| Sunggu Lee; Pohang University of Science and Technology |
| MO2-7-2: Deep Learning Based MIMO Channel Prediction: An Initial Proof of Concept Prototype |
| Jayden Booth; Arizona State University |
| Ahmed Ewaisha; Arizona State University |
| Andreas Spanias; Arizona State University |
| Ahmed Alkhateeb; Arizona State University |
| MO2-7-3: An Energy-Efficient Deep Neural Network Accelerator Design |
| Jueun Jung; Ulsan National Institute of Science and Technology |
| Kyuho Lee; Ulsan National Institute of Science and Technology |
| MO2-7-4: A REVIEW OF ON-DEVICE FULLY NEURAL END-TO-END AUTOMATIC SPEECH RECOGNITION ALGORITHMS |
| Chanwoo Kim; Samsung Research |
| Dhananjaya Gowda; Samsung Research |
| Dongsoo Lee; Samsung Research |
| Jiyeon Kim; Samsung Research |
| Ankur Kumar; Samsung Research |
| Sungsoo Kim; Samsung Research |
| Abhinav Garg; Samsung Research |
| Changwoo Han; Samsung Research |