Robust Low Power VLSI
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N. Gilbert, Zhang, Y., Dinh, J., Calhoun, B., and Hollmer, S., “A 0.6V 8 pJ/write Non-Volatile CBRAM Macro Embedded in a Body Sensor Node for Ultra Low Energy Applications”, in Symposium on VLSI Circuits, 2013.
J. J. Granacki, Calhoun, B. H., Dasu, A. R., Jagasivamani, M., McIlrath, L., and Fritze, M., “LEDRA: A 3DIC Ultra-Low Power FPGA Architecture for DoD Applications”, in GOMAC Tech, 2014.
M. Guevara, Marino, M. D., Meng, J., Satyamoorthy, P., Szafaryn, L. G., Wu, P., Meyer, B., Skadron, K., Lach, J., and Calhoun, B. H., “Exploiting Dynamically Changing Parallelism with a Reconfigurable Array of Homogeneous Sub-cores”, in TECHCON, 2010.
S. Gupta and Calhoun, B. H., “Dynamic Write VMIN and Yield Estimation for Nanoscale SRAMs”, IEEE Transactions on Circuits and Systems I: Regular Papers, 2021.PDF icon Dynamic Write VMIN and Yield Estimation for Nanoscale SRAMs.pdf (4.55 MB)
S. Gupta and Calhoun, B. H., “Dynamic Read VMIN and Yield Estimation for Nanoscale SRAMs”, IEEE Transactions on Circuits and Systems I: Regular Papers, 2021.PDF icon Dynamic Read VMIN and Yield Estimation of Nanoscale SRAMs.pdf (3.72 MB)
S. Gupta, Truesdell, D. S., and Calhoun, B. H., “A 65nm 16kb SRAM with 131.5pW Leakage at 0.9V for Wireless IoT Sensor Nodes”, in 2020 IEEE Symposium on VLSI Circuits (VLSI), 2020.PDF icon A 65nm 16kb SRAM with 131.5pW Leakage at 0.9V for Wireless IoT Sensor Nodes.pdf (935.56 KB)