O-MOORE-NICE! · Operational model order reduction for nanoscale IC Electronics
FP6 — Marie Curie Actions (Human Resources and Mobility)
- Duration
- 2007-02-02 → 2010-02-01
- EU contribution
- €25,083,593
- Participants
- 5
- Scheme
- TOK
Lines connect the coordinator with its partners. CORDIS does not always give exact coordinates for projects before 2014. These points are placed at city or country level.
Results in brief
Final Activity Report Summary - O-MOORE-NICE! (Operational model order reduction for nanoscale IC electronics)
In the EU-project O-MOORE-NICE! major achievements have been obtained in dedicated computational methods for integrated circuit (IC) design: Model order reduction techniques for linear and nonlinear problems; behavioural modelling; and multi-objective optimisation, and response surface modelling. On all these topics, not only a lot of publications have appeared in journals and conference proceedings, but also lectures were given at industry and at the universities. Furthermore, prototype software is in use at both NXP and the academic partners. Among the successes are the development of nonlinear phase macromodelling techniques for analysis of oscillators, a new approach of nonlinear MOR via table interpolation and response surface modelling, and algorithms for the solution of large networks arising in electro-static discharge analysis.
Data: CORDIS, © European Union
Project objective
The project aims at developing methods capable of reducing simulation time. The common denominator in these methods is the creation of a model of the Integrated Circuit (IC) behaviour, in which the model behaviour is less complex than the complete behaviour of the IC itself, but in which the essential characteristics of IC behaviour have been preserved. Such methods are Behavioural Model Order Reduction (BMOR) methods, Model Order Reduction (MOR) methods and Response Surface Modelling (RSM) methods. Behavioural simulation with the models created with these methods is much less computation intensive than simulation of the complete IC behaviour. This enables the simulation of complete systems that otherwise would be impossible to simulate. Developing the above mentioned model reduction methods, requires knowledge that currently is scattered over many sites in Europe. Much algorithmic knowledge exists at universities, much of the application knowledge however is present in industry. The combination of the two types of knowledge is essential to come to algorithms that are suited for industrial use. This is the key aspect of the project: it facilitates the exchange of knowledge between the industrial partner Philips (PHI) and three academic partners renowned for their competence in model reduction methods. These partners are Chemnitz University of Technology (TUC), University of Antwerp (UNA) and Eindhoven University of Technology (TUE), with their respective competences in MOR-, RSM- and BMOR methods. The project creates a multiple win-win situation: the industrial partner can improve its competitive position, while the academic partners can rise to a level that meets international standards. The research carried out in the project is the basis for innovation, that allows the industrial partner to maintain its competitive position and which allows the academic partners to teach up-to-date methods to students.
Original text from CORDIS.
Participants
- NXP SEMICONDUCTORS NETHERLANDS BV · EINDHOVENCoordinatorNetherlands
- CHEMNITZ UNIVERSITY OF TECHNOLOGY · CHEMNITZCity levelGermany
- PHILIPS ELECTRONICS NEDERLAND B.V. · EINDHOVENNetherlands
- TECHNISCHE UNIVERSITEIT EINDHOVEN · EINDHOVENNetherlands
- UNIVERSITEIT ANTWERPEN · ANTWERPENBelgium
Links
Data: CORDIS, © European Union