Research Areas

Performance and Power Optimization in Massively-Parallel Cognitive Computing

• Bio-inspired cognitive computing algorithms
• High-performance computing for many-core computing platforms
• Software and hardware optimization for massively-parallel computing systems and applications

Low Power Design

• Low power design for VLSI circuits and systems
• Leakage current minimization
• Clock gating design for low power

Power Estimation

• Simulation-based power estimation using statistical sampling
• Cycle-accurate power macro-modeling for RT-level power estimation
• Peak power estimation using extreme order statistics

Flexible Electronics

• New design logic and basic cell design
• Circuit/system design for low power
• Transistor sizing for better performance, lower power and smaller area

System-on-a-Chip (SoC)

• Hardware acceleration for signal processing and multimedia algorithms
• High-performance design