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Dive into the research topics where David Blaauw is active.

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Featured researches published by David Blaauw.


IEEE Journal of Solid-state Circuits | 2013

A Sub-nW Multi-stage Temperature Compensated Timer for Ultra-Low-Power Sensor Nodes

Yoonmyung Lee; Bharan Giridhar; Zhiyoong Foo; Dennis Sylvester; David Blaauw

Accurate measurement of synchronization cycle time is required for ultra-low power wireless sensor nodes with stringent power budgets. A multi-stage gate-leakage-based timer with boosted charging is proposed to address the high jitter of prior-art gate-leakage-based timers. The key approaches are faster load capacitor charging, wider voltage swing, and an improved gain sensing inverter. The proposed timer reduces RMS jitter by 8.1× and synchronization uncertainty by 4.1×, which allows hourly tracking with 200 ms uncertainty while consuming 660 pW. A novel closed-loop temperature compensation scheme with dynamic leakage adjustment is also proposed to achieve temperature sensitivity of 31 ppm/°C.


asia and south pacific design automation conference | 2005

Runtime leakage minimization through probability-aware dual-V/sub t/ or dual-T/sub ox/ assignment

Dong-Woo Lee; David Blaauw; Dennis Sylvester

With process scaling runtime leakage current, when the circuit is operating, has become a major concern in addition to traditional standby mode leakage. In this paper we propose a new leakage reduction method that specifically targets runtime leakage current. We first observe that the state probabilities of nodes in a circuit tend to be skewed, meaning that they have either a high or a low value. We then propose a method that exploits these skewed state probabilities by setting only those transistors to high-K, (thick-oxide) that have a high likelihood of being off (on) and hence contributing significantly to the total runtime leakage. Accordingly, we also propose a library specifically tailored for the proposed approach, where V/sub t/ and T/sub ox/ assignment with favorably trade-offs under skewed input probabilities are provided. The optimization algorithm performs simultaneous sizing, V/sub t/ and T/sub ox/ assignment and shows substantial leakage improvement over probability-unaware optimization.


Journal of Power Sources | 2007

Design of an implantable power supply for an intraocular sensor, using POWER (power optimization for wireless energy requirements)

Fabio Albano; Myoungdo Chung; David Blaauw; Dennis Sylvester; Kensall D. Wise; Ann Marie Sastry


Archive | 2014

in an Image Sensor with Integrat ed 2D Edge Detectio n and Noise Filterin g

David Fick; Gyouho Kim; Allan Wang; David Blaauw; Dennis Sylvester


Archive | 2010

Circuit Design Advances for Wireless Sensing Applications Many recent designs for miniature, millimeter-scale, long-lifetime, ultralow-power wireless sensors are described with applications in areas such as medical diagnosis, infrastructure monitoring, and environmental sensing.

Gregory K. Chen; Scott Hanson; David Blaauw; Dennis Sylvester


Archive | 2010

Near-Threshold Computing: Reclaiming Moore's Law Through Energy Efficient Integrated Circuits Future computer systems promise to achieve an energy reduction of 100 or more times with memory design, device structure, device fabrication techniques, and clocking, all optimized for low-voltage operation.

Ronald G. Dreslinski; Michael Wieckowski; David Blaauw; Dennis Sylvester; Trevor N. Mudge


Archive | 2009

AHighlyResilientRoutingAlgorithmforFault­TolerantNoC s

David Fick; Andrew DeOrio; Gregory K. Chen; Valeria Bertacco; Dennis Sylvester; David Blaauw


Archive | 2008

Ultra-low power processor design using subthreshold design techniques : the solution to battery life with voltage scaling

Bo Zhai; David Blaauw; Dennis Sylvester


Archive | 2008

DR AF T Stress Aware Layout Optimization

Vivek Joshi; Brian Cline; Dennis Sylvester; David Blaauw; Kanak B. Agarwal


Archive | 2008

A Variation-Tolerant Sub-200 mV 6-T

Bo Zhai; Scott Hanson; David Blaauw; Dennis Sylvester

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Bo Zhai

University of Michigan

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David Fick

University of Michigan

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Allan Wang

University of Michigan

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