Current Publication
From Constraints to Tape-Out: Towards a Continuous AMS Design Flow
Andreas Krinke1.
Tilman Horst1.
Georg Gläser2.
Martin Grabmann2.
Tobias Markus3.
Benjamin Prautsch4.
Uwe Hatnik4.
Jens Lienig1.
A. Krinke et al., 2019 IEEE 22nd International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS), Cluj-Napoca, Romania, 24 - 26 April 2019, pp. 1-10.
1Technische Universität Dresden, Institute of Electromechanical and Electronic Design, Dresden, Germany.
2IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany.
3Heidelberg University, ZITI, Computer Architecture Group, Heidelberg, Germany.
4Division Engineering of Adaptive Systems, Fraunhofer IIS/EAS, Institute for Integrated Circuits, Dresden, Germany.
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The IMMS researched assistance systems for chip designers: Machine Learning improves design and test methods for integrated analogue/mixed-signal systems.
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Computer-aided verification methods have been developed to accelerate the design of Industry 4.0 applications.
Award
1st Place – EDA Competition Award für den Beitrag: Trash or Treasure? Machine-learning based PCB layout anomaly detection with AnoPCB
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EDA Achievement Award 2018: Für seine Verdienste in der Entwicklung neuer anwendungsorientierte Methoden zur verbesserten Analyse integrierter Mixed-Signal Schaltungen und deren Umsetzung in die industrielle Praxis
Georg Gläser
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Competition Runner-up für den Beitrag: Automated Generation of System-Level AMS Operating Condition Checks: Your Model's Insurance Policy
Georg Gläser
Award