D
David Blaauw
Researcher at University of Michigan
Publications - 792
Citations - 32719
David Blaauw is an academic researcher from University of Michigan. The author has contributed to research in topics: CMOS & Low-power electronics. The author has an hindex of 87, co-authored 750 publications receiving 29855 citations. Previous affiliations of David Blaauw include Texas A&M University & University of Illinois at Urbana–Champaign.
Papers
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Proceedings ArticleDOI
Extended dynamic voltage scaling for low power design
TL;DR: An analytical model for the minimum energy optimal voltage is derived and it is shown that for subthreshold supply voltages leakage energy becomes dominant, making "just in time completion" energy inefficient.
Patent
Single cycle arbitration within an interconnect
Supreet Jeloka,Sandunmalee Nilmini Abeyratne,Ronald G. Dreslinski,Reetuparna Das,Trevor Mudge,David Blaauw +5 more
TL;DR: In this article, the arbitration applied uses a first arbitration parameter value, in the form of a time stamp value, and, if two or more signal inputs share such a time-stamp value, then uses a second arbitration parameter, in a least recently granted value, to select one of a plurality of signal inputs for connection to a signal output.
Proceedings ArticleDOI
Pulse amplification based dynamic synchronizers with metastability measurement using capacitance de-rating
TL;DR: This work presents dynamic buffer based synchronizers where only pulses rather than stable intermediate voltages cause metastability, and exploits this unique feature by amplifying such pulses to improve MTBF by >106× over jamb latches and double flip-flops at 2GHz in 65nm CMOS.
Journal ArticleDOI
Probability distribution of signal arrival times using Bayesian networks
TL;DR: This paper presents a new method based on Bayesian networks (BNs) for computing the exact probability distribution of the delay of a circuit, which allows an efficient means to factor the joint probability distributions over variables in a circuit graph.
Proceedings ArticleDOI
An Adaptive Body-Biaslna SoC Using in Situ Slack Monitoring for Runtime Replica Calibration
Mehdi Saligane,Jeongsup Lee,Qing Dong,Makoto Yasuda,Kazuyuki Kumeno,Fumitaka Ohno,Satoru Miyoshi,Masaru Kawaminami,David Blaauw,Dennis Sylvester +9 more
TL;DR: An adaptive Cortex-M0 that is based on an in situ assisted tunable replica circuit and shows tracking error of <2% across [0.5-0.9]V supply and [-40-125]oC, achieving up to 53% energy improvement.