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Offshore climate prediction method and device based on fast matrix decomposition method

A technology of matrix decomposition and prediction method, applied in prediction, instrument, data processing application, etc., can solve the problem of increasing the cost of parallelized learning of decomposition algorithm, and achieve the effect of reducing communication overhead, improving efficiency, and improving operation efficiency.

Pending Publication Date: 2022-04-08
HANGZHOU DIANZI UNIV
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Problems solved by technology

For other developers, it is necessary to learn the API of each tool from scratch, which greatly increases the learning cost of decomposition algorithm parallelization

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  • Offshore climate prediction method and device based on fast matrix decomposition method
  • Offshore climate prediction method and device based on fast matrix decomposition method
  • Offshore climate prediction method and device based on fast matrix decomposition method

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Embodiment Construction

[0040] The specific embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings. in:

[0041] An offshore climate prediction method based on fast matrix factorization method, such as figure 1 specifically is:

[0042]Step (1): Each process divides the data and calculates the distance between any positions; specifically:

[0043] 1-1 Obtain the coordinate data matrix L of the position to be predicted 1 , The coordinate data matrix L of the observation position 2 And the corresponding physical value observation vector Z 2 ;

[0044] The physical value observation vector Z 2 Including temperature, precipitation, wind speed, air pressure, humidity, etc.;

[0045] The coordinate data matrix includes the longitude and latitude values ​​of each coordinate point;

[0046] 1-2 Configure multiple MPI processes based on MPI communication. Each process combines the improved two-dimensional data layout to divide the d...

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Abstract

The invention discloses an offshore climate prediction method and device based on a fast matrix decomposition method. Using an existing Matern kernel function-based Gaussian random field model and collected offshore climate physical data to carry out physical value prediction on any spatial point location of the region; generating a task dependency graph by using OpenMP and scheduling decomposition tasks in the task dependency graph according to a dependency sequence; and after the MPI is used for controlling matrix partitioning, non-blocking communication among different processes is carried out. The invention provides a brand-new MPI + X normal form which can be operated in a distributed environment and can also be programmed by using a native OpenMP task model, and multi-thread execution communication effectively improves the operation efficiency of a large-scale decomposition algorithm. The invention provides a brand-new two-dimensional data layout in a distributed environment, and the load on each process in a distributed decomposition algorithm is balanced; and the tasks with relatively high calculation amount are allocated to different processes, so that the communication overhead of a decomposition algorithm is reduced, and the efficiency is improved.

Description

technical field [0001] The invention relates to a method and device for offshore climate prediction based on fast matrix decomposition method. The method runs in a distributed system, relies on MPI and OpenMP task models, and can be used in geographic statistics applications in offshore areas such as air temperature, precipitation, and wind speed. Rapid prediction of physical data such as air pressure, humidity, etc. Background technique [0002] Climate and environmental prediction applications are one of the main physical applications running on supercomputers in various countries today. This type of application is indispensable for scientists to conduct geospatial statistics related research. The climate in coastal areas has a major impact on marine fishery resources. Restricted by the location of the collection equipment, it is usually necessary to predict the remaining unevenly distributed locations based on existing observation data and models to obtain complete clima...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/26
Inventor 焦瀚袁俊峰任永坚张纪林铃木智博欧东阳曾艳刘震许洋王雷徐传奇于晓康
Owner HANGZHOU DIANZI UNIV
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