Large matrix solving method based on ARM architecture

Abstract

The invention relates to the technical field of ARM architectures, in particular to a large matrix solving method based on an ARM architecture. The large matrix solving method based on the ARM architecture comprises the following steps: S1, establishing an operating system for solving based on the ARM architecture; S2, storing / reading data required to be solved by the matrix through the ARM architecture; S3, automatically selecting a large matrix operation method through a system; and S4, solving a numerical value through the large matrix operation rule. Through the Cache technology, the speed difference between the processor and the storage system is reduced. When the iteration method is used for processing a large sparse matrix with more zero elements, the method has the advantages of operation and storage, the calculation formula is simple, the multiplication of the matrix and the vector only needs to be calculated once in each iteration, and the set CG method has the effect of high convergence speed; and, through the calculation of the partitioning mode, the shared memory on the rapid ARM architecture can be effectively utilized.

Description

technical field [0001] The invention relates to the technical field of ARM architecture, in particular to a method for solving a large matrix based on the ARM architecture. Background technique [0002] The ARM architecture (formerly known as Advanced RISC Machine, earlier known as Acorn RISC Machine) is a 32-bit reduced instruction set (RISC) central processing unit (processor) architecture, which is widely used in Many embedded systems (embedded) design. Due to the characteristics of energy saving, the ARM processor is very suitable for the field of mobile communication, and its main design goal is low power consumption. [0003] The matrix was proposed by the British mathematician Kelly in the 19th century. After more than 200 years of development, it has been widely used in modern life. Below I will list a few applications of the matrix in real life: The matrix can be used to predict water quality conditions and to deal with water pollution and other issues; the matrix...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a large-scale matrix solution method based on the ARM architecture, which solves the problem of overlapping execution of communication and calculation pipelines in the existing matrix solution, limited data calculation capability, and poor system speed, resulting in poor overall performance of the system.

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