A Parallel Computing Method Based on Hard-Sphere Model

Abstract

The invention provides a parallel computing method based on a hard-sphere model. The parallel computing method based on the hard-sphere model includes: a system to be simulated is divided into a plurality of sub-regions, the sub-regions are divided into a plurality of internal region cell grids and boundary region cell grids, and virtual region cell grids of the sub-regions are established on outer levels of the sub-regions; the internal region cell grids correspond to event driven regions, and the boundary region cell grids and the virtual region cell grids correspond to time driven regions; and states of particles in the even driven regions and the time driven regions are updated in given time-driven time steps. The parallel computing method based on the hard-sphere model overcomes the problems that hard-sphere model even-driven algorithms are difficult to parallel, and certain parallel algorithms are low in efficiency due to repeated callback. The parallel computing method based on the hard-sphere model also solves the problem that the time-driven algorithms are low in computing efficiency due to high computing load, and computing efficiency and paralleling extensibility are improved greatly.

Description

technical field [0001] The invention relates to discrete particle simulation parallel computing, in particular to large-scale scalable parallel computing of hard sphere models. Background technique [0002] In the granular fluid system, there is a common coupling of various processes such as flow, transfer, and reaction, such as the fluidized system involving particles and fluids in the fields of chemical industry and energy, which makes the system present a significant non-equilibrium and multi-scale structure etc. Although there have been some achievements in the research on these systems, it is still very difficult to strictly describe the multi-scale structure of these systems. The reason is that the mechanism is too complicated to carry out in-depth research. [0003] At present, research in the field of granular fluid systems mainly uses the continuum model to conduct direct numerical simulations through the Euler coordinate system, and its scale can be traced back to...

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Problems solved by technology

[0008] The purpose of the present invention is to overcome the shortcomings of existing event-driven algorithms that are difficult to parallelize and existing hard-ball time-driven algorithms with low computational efficiency, and provide a large-scale solution based on the coupling mode of time-driven algorithms and event-driven algorithms for discrete particle systems using hard-sphere models. Scalable Parallel Algorithms

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