Grenoble , France, Feb. 07, 2011 – InfiniScale SA, today announced that it will sponsor the VARI 2011, the 2nd European Workshop on CMOS Variability to be located at Grenoble, France on May 30-31 2011.
The increasing variability in CMOS transistor characteristics, as well as its sensitivity to environmental variations has become a major challenge to scaling and integration. This leads to major changes in the way that future integrated circuits and systems are designed. Strong links must be established between circuit design, system design and device technology. The technical program will focus on performance and power consumption as well as architectural aspects like adaptability or resilience, with particular emphasis on modeling, design, characterization, analysis and optimization of variability. Digital, Analog, Mixed Signal and RF circuits are within VARI scope.
Who: InfiniScale SA
What: 2nd European Worshop on CMOS Variability. Working topics:
- Modeling and Simulation of Variations: from Physics to Circuits
- Digital and Analog Design Tools and Methodologies for Variability
- Measurements Sensors and Actuators for Digital and Analog
- Compensation at Digital or Analog Circuit Design Level
- Compensation at Digital or Analog Layout Level
- Compensation at Digital, Mixed or Analog Architectural Level
When: May 30-31 2011
Where: Minatec, Grenoble, France
- Submission deadline: March 1, 2011
- Paper acceptance: April 13, 2011
- Final paper submission: April 29, 2011
InfiniScale provides a unique variation-aware custom IC design solutions dedicated to analysis and optimization of performances and parametric yield for analog and mixed-signal designs. InfiniScale Lysis flow enables variation-aware design methods that can accurately and promptly estimate the risks into variation sensitive devices. With Lysis, the designer is able to run a million MC in seconds, to visualize PVT influence on performances in real-time, and to optimize parametric yield in an hour. InfiniScale Lysis solution enables designers delivering products on time, while maximizing robustness and yield.