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Method for obtaining matrix decomposition time based on machine learning training model

A matrix decomposition and machine learning technology, applied in machine learning, computing models, instruments, etc., can solve problems such as uneven distribution of computing resources, increase in the calculation amount of simulation tools, affecting the design cycle of designers, and shorten the circuit simulation time. The effect of improving the efficiency of circuit simulation

Active Publication Date: 2020-08-18
北京华大九天科技股份有限公司
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Problems solved by technology

[0002] With the increase of integrated circuit integration, the circuit complexity is also increasing day by day. In the existing Integrated Circuit / Computer Aided Design (Integrated Circuit / Computer Aided Design), using general-purpose circuit simulation program analysis, for VLSI, it takes a lot of The computer time, especially when performing transient analysis, requires multiple iterations to decompose the circuit matrix, making the calculation amount of simulation tools also explode
At present, VLSI is faced with a large amount of calculation, unbalanced allocation of computing resources, and long simulation time, which seriously affect the designer's design cycle.
[0003] Because the circuit matrix decomposition needs to be iterated many times, it needs a lot of computing resources, but before the circuit simulation, it is not possible to know how many computing resources are needed, which often leads to unbalanced distribution of computing resources, resulting in long simulation time and waste of computing resources.

Method used

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  • Method for obtaining matrix decomposition time based on machine learning training model

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Embodiment Construction

[0032] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0033] figure 1 For the method flowchart of obtaining matrix decomposition time based on the machine learning training model of the present invention, reference will be made below figure 1 , the method for obtaining matrix decomposition time based on machine learning training model of the present invention is described in detail.

[0034] First, at step 101, circuit data is measured.

[0035] In the embodiment of the present invention, the circuit matrix is ​​measured, and data such as the dimension of the circuit matrix, non-zero elements, and matrix calculation times are obtained.

[0036] In step 102, the measurement data is processed to obtain a data set.

[...

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Abstract

The invention discloses a method for obtaining matrix decomposition time based on a machine learning training model. The method comprises the following steps of 1) obtaining a circuit matrix data set,2) carrying out matrix decomposition time model training according to the data set, and 3) predicting the matrix decomposition time of an unknown circuit according to the matrix decomposition time model obtained by training. The method for obtaining the matrix decomposition time based on the machine learning training model can predict the matrix decomposition time, reasonably allocate computing resources, shorten the circuit simulation time and improve the circuit simulation efficiency.

Description

technical field [0001] The invention relates to the technical field of EDA circuit simulation, in particular to a method for predicting circuit matrix decomposition time in circuit simulation. Background technique [0002] With the increase of integrated circuit integration, the circuit complexity is also increasing day by day. In the existing Integrated Circuit / Computer Aided Design (Integrated Circuit / Computer Aided Design), using general-purpose circuit simulation program analysis, for VLSI, it takes a lot of Especially when performing transient analysis, multiple iterations are required to decompose the circuit matrix, and the calculation amount of the simulation tool will also explode. At present, VLSI is faced with too many calculations, unbalanced allocation of computing resources, and long simulation time, which also seriously affect the designer's design cycle. [0003] Because the circuit matrix decomposition needs to be iterated many times, it needs a lot of comp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/398G06N20/00
CPCG06F30/398G06N20/00
Inventor 田小康程明厚阳杰周振亚刘强
Owner 北京华大九天科技股份有限公司
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