PBiCOR method suitable for distributed parallel computing

Abstract

The invention provides a PBiCOR method suitable for distributed parallel computing, and effectively solves the problem that global communications of distributed memory parallel machines influence each other. The scheme is that a parallel machine is assumed to be provided with P processors, each processor is provided with a local memory module and a corresponding processing unit, and the processing units are connected through the internet. An SPMD model is assumed to be adopted, that is to say, all the processing units execute same programs, and when one processing unit needs data of a remote processing unit, the operation must be completed through message delivery. According to the method, the number of global communications is reduced, thereby effectively improving parallel communication performance of the PBiCOR method; and the method has better parallelism and scalability, increases communication performance improvement ratio, and certainly provides a theoretical basis for the fields of petroleum reservoir simulation, weather forecast, computational fluid dynamics, computational electromagnetics, astrophysics, inertial confinement fusion (ICF) two-dimensional numerical simulation and the like.

Description

technical field [0001] The invention relates to the technical field of parallel machine communication, in particular to a PBiCOR method suitable for distributed parallel computing. Background technique [0002] With the development and application of massively parallel computers, high-resolution numerical simulation of complex physical systems has been put on the agenda. Parallel computers can be divided into two basic parallel computer storage types: shared memory and distributed memory. In a parallel computer with shared memory, each processing unit exchanges information and coordinates the processing of parallel tasks by each processor through access to the shared memory. The programming of this shared memory is relatively simple to implement, but shared memory often becomes a performance problem. Especially the important bottleneck of scalability, in the parallel computer with distributed memory, each processing unit has its own independent local memory. Since there is n...

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Problems solved by technology

[0004] In view of the above situation, in order to overcome the defects of the prior art, the purpose of the present invention is to provide a PBiCOR method suitable for distributed parallel computing, which effectively solves the problem that the global communication of distributed storage parallel machines affects each other

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