Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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

A response matrix and variational node block technology, applied in the field of information processing, can solve problems such as large time overhead, and achieve the effect of reducing computing time overhead

Active Publication Date: 2019-09-27
SHANGHAI JIAO TONG UNIV
View PDF7 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Response matrix parallel processing implementation method based on integral variable segmentation method
  • Response matrix parallel processing implementation method based on integral variable segmentation method
  • Response matrix parallel processing implementation method based on integral variable segmentation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] Firstly, an advanced theoretical model of the three-dimensional multi-group integral variational nodal method is established based on the traditional variational nodal method, and the three-dimensional multi-group integral variational nodal method is derived from the form of Ryze discrete.

[0028] For a specific energy group, omitting the energy group subscript g, the neutron transport equation in the second-order even-parity form is: Where: ψ(r,Ω) represents the spatial position r and the angular flux at the angular direction Ω, Σ t (r) and Σ s (r) are the macroscopic total cross-section and the macroscopic scattering cross-section, respectively, the neutron source term q(r) is composed of scattering and fission, and the others are general symbols in the field of reactor physics.

[0029] In the variational nodal method, the problem solving domain is divided into many individual nodal blocks, and the functionals of the entire solving domain on the neutron angular fl...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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 [...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/16G06F17/50
CPCG06F17/16G06F30/23
Inventor 张滕飞夏文勇刘晓晶熊进标柴翔
Owner SHANGHAI JIAO TONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products