This thrust aims to explore and deliver on opportunities in designing new and potentially disruptive hardware/software platforms and the corresponding computation, storage, and communication architectures (e.g., many-core processing fabrics, structured ASICs and complex FPGAs, hybrid opto-electronic fabric, embedded system-on-chip designs, neural networks, ultra-low-power embedded systems, cyber-physical systems, and advanced sensing and actuation systems) in support of the evolving new computing paradigms.
Affiliated faculty: ECE, ISI
- Many-core processors, GPUs, full-custom ASICs
- SoCs
- FPGAs and Structured ASICs
- Neuromorphic chips
- Engineered molecular systems
- Ultra-low-power embedded systems
- Resilient IoT system and applications
- Integrated Spintronic Synapses and Neurons for Neuromorphic Computing
- Real-time Machine Learning for Sub-second Systems