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Alberto Sangiovanni-Vincentelli
Researcher at University of California, Berkeley
Publications - 946
Citations - 47259
Alberto Sangiovanni-Vincentelli is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Logic synthesis & Finite-state machine. The author has an hindex of 99, co-authored 934 publications receiving 45201 citations. Previous affiliations of Alberto Sangiovanni-Vincentelli include National University of Singapore & Lawrence Berkeley National Laboratory.
Papers
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Proceedings ArticleDOI
Generalized constraint generation for analog circuit design
TL;DR: A general methodology is presented for the generation of a complete set of constraints on interconnect parasitics, parasitic mismatch and on the physical topology of analog circuits.
Journal ArticleDOI
Multiple Constrained Folding of Programmable Logic Arrays: Theory and Applications
TL;DR: A new computer program is presented, PLEASURE, which implements several algorithms for multiple and/or constrained PLA folding and a constrained optimization problem to achieve minimal silicon area occupation with constrained positions of electrical inputs and outputs is defined.
Proceedings ArticleDOI
ECSTASY: a new environment for IC design optimization
TL;DR: Interfacing to SPICE3 with sensitivity computation capability, ECSTASY features a forms-based, menu-driven user interface for problem formulation and user interaction, superlinearly convergent gradient-based algorithms, and a robust controlled random search procedure for circuit optimization.
Proceedings ArticleDOI
A framework for creating healthcare monitoring applications using wireless body sensor networks
Sameer Iyengar,Filippo Tempia Bonda,Raffaele Gravina,Antonio Guerrieri,Giancarlo Fortino,Alberto Sangiovanni-Vincentelli +5 more
TL;DR: A healthcare monitoring platform upon which applications for posture recognition as well as physical therapy is implemented, and it is shown how body sensor network resources can be dynamically allocated to support heterogeneous application requirements without hardware reconfiguration.
Proceedings ArticleDOI
Digital sensitivity: predicting signal interaction using functional analysis
TL;DR: It is found that it is possible to predict signal interaction by signal functionality alone, leading to a significant amount of robust switching isolation, independent of parasitics introduced by layout or semiconductor process.