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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
Simultaneous Placement and Module Optimization of Analog IC's
TL;DR: The flexibility of the annealing algorithm has been significantly improved, thus making it possible to more efficiently exploit the tradeoffs between area, parasitics and matching.
Proceedings ArticleDOI
Stochastic model predictive control design for load management system of aircraft electrical power distribution
TL;DR: This paper forms the optimization of the system performance as a stochastic model predictive control (SMPC) problem, and presents two special cases of the proposed SMPC analysis to approximate the problem with linear mixed-integer optimization problems.
Journal ArticleDOI
'Zone-refining' techniques for IC layout compaction
TL;DR: The basic principle is reviewed and the computational complexity of zone refining is analyzed, and the difficulties that had to be overcome in making the basic concept useful for compaction of integrated circuit layouts is discussed.
Journal ArticleDOI
Symbolic compaction with analogue constraints
TL;DR: A robust and efficient constraint graph compaction algorithm which produces a compacted layout which satisfies the high-level performance constraints and is feasible for practical use within industrial-strength analogue synthesis systems is presented.
Journal ArticleDOI
Hybrid systems in automotive electronics design
TL;DR: This paper identifies critical steps in the design flow and extracts a number of open problems where hybrid system technology might play an important role and takes a broad view of the development process for embedded control systems in the automotive industry.