Response matrix parallel processing implementation method based on integral variable segmentation method

Abstract

The invention discloses a response matrix parallel processing implementation method based on an integral variable block method, which comprises the following steps of: constructing different response matrix sets by using a plurality of computing cores in a parallel manner by using the integral variable block method and having natural decoupling property by using the construction among the different response matrix sets; secondly, dividing a reactor core into a corresponding number of non-overlapped sub-regions according to a given calculation core number for a transport equation solving part in an integral variable segmentation method, and performing Gauss-Seidel method solution according to a neutron balance relationship in the block and a neutron flow continuity relationship on the surface of the block to obtain a converged neutron flux density expansion moment and an incident neutron flow density expansion moment. According to the invention, by using an information transfer interface protocol (MPI) parallel method, a parallel computing function of several computing cores or even dozens of computing cores in a Windows or Linux system can be realized, and the computing time cost of an original computing case is shortened by several times or even dozens of times.

Description

technical field [0001] The invention relates to a technology in the field of information processing, in particular to a method for implementing parallel processing of response matrices based on an integral variational block method. Background technique [0002] The variational nodal method was first proposed by Professor E.E. Lewis of Northwestern University. The variational nodal method takes the second-order even-parity neutron diffusion equation as the starting point, and the equation takes the form of an elliptic equation, which is beneficial to the Galerkin method. application, and is more suitable for the spatial discretization of the finite element method. [0003] However, when the variational block method increases the angle order, the number of degrees of freedom of the problem solving domain will be doubled on the basis of spatial discreteness, and the calculation cost of the variational block method will be significantly increased. SUMMARY OF THE INVENTION [...

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Problems solved by technology

[0004] The present invention aims at the problem of huge time overhead in large-scale calculation of the existing serial integral variational block method, and proposes a method based on the integral variable block method The implementation method of parallel processing of the response matrix is ​​to assign it to multiple computer cores to construct the response matrix in parallel in the response matrix construction part, and at the same time to divide the core into sub-regions in the transport equation solution part, and distribute the divided sub-regions Give multiple computer cores to solve the transport equation in parallel. By using the message passing interface protocol (MPI) parallel method, it is possible to realize the parallel computing function of several computing cores or even dozens of computing cores in the Windows or Linux system. The calculation time overhead of the example is shortened by several times or even dozens of times

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