IC design methods
We develop new methods and tools for your system-on-chip and FPGA designs to master the increasing complexity of integrated systems and thus further increase performance. We provide you with the experience and solution approaches from our system developments and IC designs for your projects and ideas.
Our focus is to reach the goal efficiently: We decide pragmatically and question the application of our tools – from AI to classical analysis methods – to ensure a secure and trustworthy design.
Your practical knowledge in application and our know-how on methods are at the heart of this. We offer you the environment and the team to make your project a success – from the first brainstorming to the finished system. With us, you can discuss a wide variety of ideas and novel concepts, evaluate them and improve them through to product development.
- Provision and further development of software for computer-aided fault analysis, e.g. analysis of measurement data, parasitic impact analysis for on-chip EMC bug fixing, pre-layout symmetry analysis
Provision and further development of software for automatic model generation e.g. AI-based generation of mixed-signal energy consumption models, generation of model checks (operating condition check on block and system level)
- Setup and maintenance of FPGA and IC design environments e.g.: Git-based regression environments, simulator-in-the-loop testing of signal processing units (linking simulator/FPGA prototype to Matlab, Octave or Python algorithms)
- AI-based analysis of design data e.g.: automatic reviews of IC and PCB layouts
- Trainings and workshops
- Framework for AI-based analysis of design and test data
- Framework for automated model generation and model checks
- Development environment for the integration of regression tests and test driven design for hardware development
- Machine Learning (Python, TensorFlow)
- Analog Flavor Waveform Reader
- Cadence design tools
- OpenSource simulators (Icarus Verilog, Verilator)
- Simulator interfaces (Python-based, cocoTB,...)
- Agile project and code management with Git
- Fabs
- System houses
- IP vendors
- SMEs with FPGA demand
Contact
Contact
Eric Schäfer, M. Sc.
Head of Microelectronics / Branch Office Erfurt
eric.schaefer(at)imms.de+49 (0) 361 663 25 35
Eric Schäfer and his team research Integrated sensor systems, especially CMOS-based biosensors, ULP sensor systems and AI-based design and test automation. The results are being incorporated into research on the lead applications Sensor systems for in-vitro diagnostics and RFID sensor technology. It will assist you with services for the development of Integrated circuits and with IC design methods.
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Project
VE-VIDES
Against hacker attacks: Innovative chip architectures, modelling and verification methods for trustworthy electronics
Project
VE-ARiS
We are developing copy protection solutions for integrated circuits to secure the know-how of partners
Project
KI-EDA
IMMS develops novel designer assistance system and smart models to design sensor and control chips for I4.0 applications
Project
IntelligEnt
The IMMS researched assistance systems for chip designers: Machine Learning improves design and test methods for integrated analogue/mixed-signal systems.
Reference
Christian Paintz, Melexis
“Particularly in the evaluation of measurement data, IMMS has impressively demonstrated that a learning algorithm is on a par with manual evaluation – while saving a great deal of time. We are also continuing to pursue methods for circuit and layout analysis, as we see great research and application potential here as well.”
Reference
Dr.-Ing. Dirk Nuernbergk, Melexis
“The institute has developed and implemented a program that automatically finds and evaluates critical parasitics even at the design stage. In consequence, layout optimisation, which normally takes so long, is massively accelerated. In a very short time, we were able to identify the problematic points in three circuits.”
Reference
Dr. Dieter Treytnar, edacentrum
“The idea became the edaBarCamp, a ‘non-conference’. As its name suggests, it was to be the first BarCamp in the field of EDA. It was organised by the edacentrum, IMMS and OFFIS. Thanks to the support given by IMMS on organisation and content, the first edaBarCamp was so successful that everybody agreed to repeat it in future years.”
Reference
Thomas Freitag, Melexis
”For many years, IMMS has been supporting us in the development and refinement of our ICs, among them those for LIN-based regulation of RGB LEDs. It is our intention to collaborate again with the Institute in the future, continuing to rely on its skills.“
Machine-Learning im PCB-Entwurf: Open-Source zwischen Forschung, Potential und Alltag
Georg Gläser1.30. Konferenz des Fachverbandes für Design, Leiterplatten- und Elektronikfertigung (FED), 29. - 30. September 2022, Potsdam, Germany
1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, Ehrenbergstraße 27, 98693 Ilmenau, Germany.Learn from error! ML-based model error estimation for design verification without false-positives
Henning Siemen1. Martin Grabmann1. Georg Gläser1.2022 18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), 2022, pp. 1-4, DOI: doi.org/10.1109/SMACD55068.2022.9816317, 12 - 15 June 2022, Villasimius, Sardinia, Italy
1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany.VE-VIDES – AP2, Design, Architektur und Modellierung, Vertrauenswürdig?
Georg Gläser1.Digitale Fachkonferenz „Vertrauenswürdige Elektronik 2022“, 9. - 10. März 2022, online
1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany.VE-ARiS – „Alberich“ – Machine-Learning-basierte Vorhersage der Kopierbarkeit von ASICs
Florian Kögler1.Digitale Fachkonferenz „Vertrauenswürdige Elektronik 2022“, 9. - 10. März 2022, online
1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany.
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Service for R&D
Integrated Circuits
We offer the design and realisation of application-specific integrated circuits (ASICs) in CMOS, BiCMOS and SOI technologies. We achieve well-performing ASICs with our first runs (first-time right silicon).