Method for partitioning large-scale static network based on graphics processor
A graphics processor and network division technology, applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve the problems of large calculation amount of matrix eigenvalue, complex realization, unfavorable algorithm parallelization, etc., and achieve parallel computing performance improvement , saving space and improving speed
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[0057] The specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0058] Such as figure 1 As shown, the present invention is a schematic diagram of a large-scale static network division method based on a graphics processor. As shown in the figure, the central processing unit performs data scheduling and network division, and the graphics processor performs calculation of eigenvalues and eigenvectors. The realization of the whole network division process is realized by two data queues, one is the module vector S to be divided j queue, and the other is the vector queue of each row of the network division result matrix S; wherein, the network division result matrix S matrix is an n×m matrix, n is the number of nodes in the network, and m is the total number of modules. Each row of S is an n-dimensional vector, representing a module, as follows:
[0059]
[0060] Among them, j represents...
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