Parallel computing resource allocation method and device, storage medium and terminal equipment

Abstract

The invention discloses a parallel computing resource allocation method and device, a storage medium and terminal device. The parallel computing resource allocation method comprises the steps that firstly, the amount of computing questions and the total number m of available computing nodes are determined, and a computing resource scheduling scheme arrangement set is generated according to the total number m of the computing nodes and the the calculation question quantity; mapping the calculation resource scheduling scheme arrangement set to a pre-constructed time consumption cost matrix to obtain a consumed time length arrangement set, carrying out isochronism calculation on the consumed time length arrangement set, and obtaining a calculation node combination with a minimum isochronism ratio from the calculation resource scheduling scheme arrangement set according to a calculation result; and distributing the calculation node combination to a calculation question quantity so as to perform calculation processing on the calculation question quantity. Therefore, according to the parallel computing resource allocation method provided by the embodiment of the invention, the calculation isochronism of the calculation question quantity can be greatly improved, the waiting time of workers is shortened, and the working efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of resource allocation, and in particular to a distributed parallel computing resource allocation method, a computer-readable storage medium, a terminal device and a distributed parallel computing resource allocation device. Background technique [0002] In the production process of terminal equipment, automobiles and other products, collision analysis is generally required, and in the analysis process, it is often necessary to perform data calculation and processing on different collision surfaces. However, in the calculation process, there will be problems with different calculation speeds. Therefore, the computing nodes with fast computing speed need to wait for the computing nodes with slow computing speed to complete the calculation before obtaining the calculation results. This often takes a long time for computing, which affects the product development progress and reduces work efficiency. [...

AI Technical Summary

Problems solved by technology

[0002] In the production process of terminal equipment, automobiles and other products, collision analysis is generally required, and in the analysis process, it is often necessary to perform data calculation and processing on different collision surfaces. However, in the calculation process, there will be problems with different calculation speeds. Therefore, the computing nodes with fast computing speed need to wait for the computing nodes with slow computing speed to complete the calculation before obtaining the calculation results. This often takes a long time for computing, which affects the product development progress and reduces work efficiency.

[0003] The method adopted in the related technology is to directly select two or more computing nodes from idle computing nodes to work, so as to improve the computing speed, but due to the difference in the computing power of each computing node, it is also impossible to achieve At the same time, the problem of multiple calculations is processed, that is to say, the staff still needs to spend a lot of time waiting for all the calculations to complete the calculation before proceeding to the next step. It still cannot solve the problem of the waiting time of the staff and the efficiency of the staff. Can't get higher

Images