Method for predicting circuit performance by using machine learning

Abstract

The invention combines an integrated circuit, a complex network theory and machine learning, and provides a method for predicting circuit performance by using machine learning. The method includes the steps of generating a data set, obtaining an optimized machine learning model and predicting the circuit performance by using the machine learning model. The data set generation part comprises the following steps: firstly, performing layout and wiring on an initial circuit by utilizing an EDA tool to obtain circuit performance and a wiring layout after wiring, then performing complex network modeling on the wiring layout, and finally extracting corresponding complex network characteristic parameters through a complex network analysis tool. The step of obtaining the optimized machine learning model comprises the steps of dividing a data set into a training set and a test set, training the machine learning model by using the training set, evaluating the obtained machine learning model by using the test set, and carrying out model optimization. The step of predicting the circuit performance by using the machine learning model comprises the steps of extracting complex network characteristic parameters of a to-be-tested circuit, inputting the complex network characteristic parameters into the optimized machine learning model, and predicting the circuit performance.

Description

technical field [0001] The invention belongs to the technical field of applying machine learning combined with complex network theory to integrated circuits, and is a method for predicting the performance of integrated circuits by using machine learning. Background technique [0002] In recent years, semiconductors have developed rapidly due to technological progress. With the increasing scale of integrated circuits and strict design rules, the design of very large scale integration (VLSI) becomes more and more difficult. Electronic Design Automation (EDA) is an important tool to solve VLSI design problems, however, the current EDA tools require a lot of calculations, and it is difficult to achieve optimal results. [0003] In recent years, complex networks have become a research hotspot in various fields, and have been applied in integrated circuit design, which proves the correlation between the performance of integrated circuits and the characteristic parameters of compl...

AI Technical Summary

Problems solved by technology

Electronic Design Automation (EDA) is an important tool to solve VLSI design problems, however, current EDA tools require a lot of calculations, and it is difficult to achieve optimal results

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