R. Liu, J. Weldon and L. Pileggi, “Extended Statistical Element Selection: A Calibration Method for High Resolution in Analog/RF Designs”, Design Automation Conference (DAC 2016), June 2016.
M. Darwish, V. Calayir, L. Pileggi, J. Weldon, “Ultra-Compact Graphene Multigate Variable Resistor for Neuromorphic Computing”, IEEE Transactions on Nanotechnology, Vol. 15, No. 2, March 2016.
Q. Guo, T.-M. Low, N. Alachiotis, B. Akin, L. Pileggi, J.C. Hoe, F. Franchetti, “Enabling Portable Energy Efficiency with Memory Accelerated Library”, 48th Annual IEEE/ACM International Symposium on Microarchitecture, 2015.
F. Wang, S. Yin, M. Jun, X. Li, T. Mukherjee, R. Negi, L. Pileggi, “Re-thinking Polynomial Optimization: Efficient Programming of Reconfigurable Radio Frequency (RF) Systems by Convexification”, Asia and South Pacific Design Automation Conference, January 2016.
R. Liu and L. Pileggi, “Low-Overhead Self-Healing Methodology for Current Matching in Current-Steering DAC”, IEEE Transactions on Circuits and Systems II, vol 62, no. 7, pp. 651-655, July 2015.
K. Vaidyanathan, Q. Zhu, L. Liebmann, K. Lai, S. Wu, R. Liu, Y. Liu, A.J. Strojwas, and L. Pileggi, “Exploiting Sub-20 nm CMOS Technology Challenges to Design Affordable SoCs”, Journal of Micro/Nanolithography, J. Micro/Nanolith. MEMS MOEMS, 14(1), 011007, July 2015.
R. Liu, L. Pileggi and J. A. Weldon, “A Wideband RF Receiver with Extended Statistical Element Selection Based Harmonic Rejection Calibration”, Integration the VLSI Journal, June 2015.
T. C. Jackson, A. A. Sharma, J. A. Bain, J. A. Weldon, L. Pileggi, “Oscillatory Neural Networks based on TMO Nano-Oscillators and Multi-Level RRAM Cells”, IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), June 2015.
V. Calayir and L. Pileggi, “Device Requirements and Technology-driven Architecture Optimization for Analog Neurocomputing”, IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol. 5, no. 2, pp. 162-173, June 2015.
T. C. Jackson, A. A. Sharma, R. Shi, J. Weldon, and L. Pileggi, “Using TMO-based RRAM Multi-Level Cells and Nano-Oscillators for Efficient ONN Implementation”,TECHCON 2015, Austin, Texas.
Carnegie Mellon University
Hamerschlag Hall, 2113
5000 Forbes Avenue
Pittsburgh, PA 15213-3891 USA
pileggi@andrew.cmu.edu
Phone: 412-268-6774