1. Towards Smart Edge Devices: Challenges and Opportunities
Gigascale Reliable Energy Efficient Nanosystem (GREEN) Lab
School of Electrical and Computer Engineering, Georgia Tech
Exploring reliable, energy efficient computing solutions at nanometer nodes
— from devices to circuits to systems
Towards Smart Edge Devices: Challenges and Opportunities
Prof. Saibal Mukhopadhyay
School of ECE, Georgia Institute of Technology
Intel Corporation
IBM
Qualcomm

2. Evolution of Smart Edge Platforms
Intelligent Computing
Security
Energy
Future growth of computing will defined by small and ubiquitous devices
We need smart, energy-efficient, and secure edge platforms.

3. Our Vision: Intelligent, Autonomous and Secure Edge Platforms
Smart Edge Devices

4. Research Overview Algorithm/Architecture Circuits/Devices
Intelligent computing
Accelerators for new computing models - Machine learning, Neuro-inspired, Dynamical systems, Bayesian
Innovative sensors
Digital/mixed-signal circuits
Post-CMOS devices for new computing models
Energy-efficiency
Memory-aware algorithms
Approximate algorithms
Electro-thermal co-design
Adaptive digital circuits
Integrated voltage regulators
Energy harvesting
3D ICs
Security
Energy-aware security
Secure power management
Low-power crypto
Side-channel resistance