Center for Circuit System Solutions

We are reinventing key components of the fundamental infrastructure that are required to support circuit and module design in future technologies. Our proposition is to add structure to the design process to enable the efficiency and repair that is needed for end-of-roadmap CMOS affordability. We are currently targeting two focus areas:

Modeling

• Optimizing Cost for Sub-22nm Memory, Logic and Analog (Strojwas—Carnegie Mellon University)
• Common Interfaces for Characterization and Modeling of Nanoscale Technologies (Nikolic, Spanos—UC Berkeley)
• Nanoscale Memories (Liu, Nikolic—UC Berkeley)
• Statistical Methods for Nanoscale Variability Modeling and Characterization (Li—Carnegie Mellon University)

Self-healing and Resilience

• Verification and Self-Healing Methods for Analog/RF Modules (Pileggi, Li—Carnegie Mellon University)
• Self-Synthesizing, Adaptable, Reconfigurable, Mixed-signal Systems (Flynn—University of Michigan)
• Self-Healing Techniques for Built-In Resilience to Aging and Early-Life Failures (Mitra—Stanford University)
• Statistical Element Selection for RF N/MEMS Resonator Oscillators (Fedder, Mukherjee—Carnegie Mellon University)