Machine Learning for IR Drop Prediction in VLSI Designs

A collection of vocabulary flashcards related to the lecture on predicting IR drops in VLSI designs using machine learning.

IR drop

Voltage drop across VLSI physical designs due to power delivery issues.

Machine Learning Model

An algorithm designed to predict outcomes based on input data.

Hotspots

Localized areas on the chip where the IR drop is significantly higher.

Power Integrity

The assurance that all components receive sufficient voltage levels.

Z-score normalization

A statistical method that standardizes a dataset by computing the mean and standard deviation.

Fully Connected Convolutional Network

A type of neural network used to predict outputs based on multi-dimensional data.

Time Closure

The process of ensuring that all timing requirements of a circuit design are met.

Tensor

A mathematical object that is a multi-dimensional array of data.

CSV Files

Comma-separated values files used for storing tabular data.

Power Delivery Network Density

A measure of how effectively power is distributed across a circuit.