Intermittent Computing




                                                          Intermittent Computing

Demonstration of battery less, self-powered nanoelectronics capable of performing compute tasks such as sensor data fusion and predictive analytics, is essential on delivering a continuous hassle-free personal health and wellness management system. With rapid progress in ultra-low voltage transistors and embedded non-volatile memory technologies, a new generation of non-volatile low power microprocessors is now feasible. In this project, we are developing foundational materials, devices and circuit blocks for heterogeneous non-volatile processors employing both MOSFETs and ferroelectric FETs that may have transformative impact on intermittent but reliable computing in unstable energy harvesting environment. These processors have negligible stand-by power, fast wake up/recovery cycles, extreme resilience to power interrupt and fine-grained dynamic power management. Harnessing the distributed nature of the embedded non-volatile flip flops, the processors are able to maintain system states during periods of power blackouts, and continue forward progress of computation tasks to provide several orders of magnitude improvement over today’s low power volatile processor counterparts.


X. Li, J. Sampson, A. Khan, K. Ma, S. George, A. Aziz, S. K. Gupta, S. Salahuddin, M.-F. Chang, S. Datta, V. Narayanan, “Enabling Energy-Efficient Nonvolatile Computing With Negative Capacitance FET”, IEEE Transactions on Electron Devices, vol. 64, no. 8, pp. 3452-3458, 2017.

X. Li, K. Ma, S. George, W.-S. Khwa, J. Sampson, S. Gupta, Y. Liu, M.-F. Chang, S. Datta, and V. Narayanan, “Design of Nonvolatile SRAM with Ferroelectric FETs for Energy-Efficient Backup and Restore”, IEEE Transactions on Electron Devices, vol. 64, no. 7, pp. 3037 – 3040, July 2017.

 Li, S. George, K. Ma, W.-Y Tsai, A. Aziz, J. Sampson, S. K. Gupta, M.-F. Chang, Y. Liu, S. Datta, and V. Narayanan, “Advancing Nonvolatile Computing With Nonvolatile NCFET Latches and Flip-Flops”, IEEE Transactions on Circuits and Systems I: Regular Papers, vol., no. 99 pp. 1-13, 2017.

Funded by:

NSF ASSIST Engineering Research Center (ERC)