Statistical Framework for Technology-Model-Product Co-Design and Convergence

This paper presents a statistical framework to cooperatively design and develop technology, product circuit, benchmarking and model early in the development stage. The statistical datadriven approach identifies device characteristics that are most correlated with a product performance, and estimates performance yield. A statistical method that isolates systematic process variations on die-to-die and wafer-to-wafer levels is also presented. The proposed framework enables translations of interactions among technology, product, and model, and facilitates collaborative efforts accordingly. The proposed methodology has been applied to first three development generations of 65nm technology node and microprocessor product current-controlled oscillators (ICOs) for phase-locked loops (PLLs) that were migrated from 90nm. Automated manufacturing floor in-line characterization and bench RF measurements are used for the methodology. The ICO exhibits yield improvement of RF oscillation frequency fr...

• Type: Conference
• Year: 2007
• Where: DAC
• Authors: Choongyeun Cho, Daeik D. Kim, Jonghae Kim, Jean-Olivier Plouchart, Robert Trzcinski
• Keywords: Computer Architecture, DAC 2007, Estimates Performance Yield, ICO Exhibits Yield, Statistical Datadriven Approach