학술논문

ML-Assisted VminBinning with Multiple Guard Bands for Low Power Consumption
Document Type
Conference
Source
2022 IEEE International Test Conference (ITC) ITC Test Conference (ITC), 2022 IEEE International. :213-218 Sep, 2022
Subject
Components, Circuits, Devices and Systems
Computing and Processing
Semiconductor device modeling
Semiconductor device measurement
Power demand
Runtime
Production
Predictive models
Time measurement
Process variation
Chip performance prediction
Multiple binning
Language
ISSN
2378-2250
Abstract
A two-phase chip performance prediction flow is presented to avoid severe costumer return, reduce power consumption, and mitigate yield loss. In phase I, we first predict the initial value of minimum operating voltage (V min ). In phase II, we predict the bin for each chip in order to apply different guard bands. Experiments on 851 advanced 7nm mobile chips show that predicted V min is larger than actual V min for all chips to avoid customer return. Also, power consumption is reduced by 2.69%. Yield loss is mitigated by up to 5.05% when our V min requirement is 1.20 scaled V min . To implement our flow, we only need to spend a little more runtime compared to the conventional flow. While the runtime of our flow is still short, we can save the long time of measuring V min for every chip.