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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
Fault-tolerant platforms for automotive safety-critical applications
Massimo Baleani,Alberto Ferrari,Leonardo Mangeruca,Alberto Sangiovanni-Vincentelli,Maurizio Peri,Saverio Pezzini +5 more
TL;DR: This work addresses the issue of fault tolerant chip architectures for automotive applications by reviewing fault-tolerant architectures commonly used in other industrial domains and comparing them with a metric that combines traditional terms such as cost, performance and fault coverage with flexibility.
Moving From Federated to Integrated Architectures in Automotive: The Role of Standards, Methods and Tools Automotive electronics systems need to support an increasing number of features and functions. A new integrated architecture paradigm is needed to overcome the proliferation of Electronic Control Units (ECUs) and allow integration of software components on distributed platforms.
TL;DR: A general overview of existing challenges and possible solutions to the design and analysis problem, with special focus on the automotive domain is provided.
Proceedings Article
Efficient Parallel Learning Algorithms for Neural Networks
TL;DR: Parallelizable optimization techniques such as the Polak-Ribiere method are significantly more efficient than the Backpropagation algorithm and the noisy real-valued learning problem of hand-written character recognition.
Proceedings ArticleDOI
Period optimization for hard real-time distributed automotive systems
TL;DR: This work automatically assign task and message periods for distributed automotive systems by leveraging schedulability analysis within a convex optimization framework to simultaneously assign periods and satisfy end-to-end latency constraints.
Proceedings ArticleDOI
System design: traditional concepts and new paradigms
TL;DR: A novel abstract, definition of platform is given and its use in system design is shown, drawing examples from the automotive system design field.