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CESG Seminar: Design and Optimization of Large Power Delivery Networks with Multiple on-chip Voltage Regulators

November 9, 2012 @ 3:00 pm - 4:00 pm

Room 1037 Emerging Technologies Building (ETB)

Suming Lai, (graduate student)

Department of ECE, TAMU

Abstract:  Modern IC power delivery systems encompass large on-chip passive power grids and active on-chip or off-chip voltage converters and regulators. While there exists little work targeting on holistic design of such complex IC subsystems, the optimal system-level design of power delivery is critical for achieving power integrity and power efficiency. Based on that insight, on the one hand, we advocate co-design and co-optimization of the entire PDN. We propose an automatic optimization flow in which key design parameters of buck converters and on-chip LDOs as well as on-chip decoupling capacitance are jointly optimized. The experimental results demonstrate significant performance improvements resulted from the proposed system co-optimization in terms of achievable area overhead, supply noise and power efficiency. On the other hand, while integrating multiple on-chip voltage regulators are beneficial and represents a significant ongoing design trend, the current design method for such regulators is not able to guarantee network stability. We present a preliminary work on this problem, in which a modified regulator design method is proposed to guarantee stability.

Bio: Suming Lai received his B.S. degree in electronic science and technology and M.S. degree in microelectronics and solid-state electronics from Xi’an Jiaotong University, Xi’an, China, in 2006 and 2009, respectively. He is currently a Ph.D. student in electrical and computer engineering at Texas A&M University, TX, United States. His research interests include computer-aided design of VLSI, power management IC design and analog/RF IC design. His current research involves the design, modeling as well as optimization of on-chip regulated power delivery networks.

 

Details

Date:
November 9, 2012
Time:
3:00 pm - 4:00 pm