A Method of 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 unbalanced distribution of computing resources, increase in calculation amount of simulation tools, waste of computing resources, etc., to shorten circuit simulation time and improve circuit performance. The Effect of Simulation Efficiency
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[0032] The following preferred embodiments of the present invention in conjunction with the accompanying drawings will be described, it should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to qualify the present invention.
[0033] Figure 1 For a flowchart of a method of obtaining matrix decomposition time based on a machine learning training model of the present invention, the following will refer to Figure 1 , a detailed description of the method of obtaining matrix decomposition time based on machine learning training model of the present invention.
[0034] First, in step 101, the circuit data is measured.
[0035] In an embodiment of the present invention, the circuit matrix is measured, the dimensionality of the circuit matrix, non-zero elements, matrix calculation times and the like data are obtained.
[0036] In step 102, the measurement data is processed to obtain a data set. ...
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