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
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[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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