Method for utilizing microwave integrated circuit (MIC) to rapidly achieve lattice Boltzmann parallel acceleration

Abstract

The invention provides a method for utilizing a microwave integrated circuit (MIC) to rapidly achieve lattice Boltzmann parallel acceleration. The method comprises the steps of enabling a central processing unit (CPU) to set parameters such as a computational domain, a reference length, an inflow velocity, density and Reynolds numbers according to physical problems and design thread counts of an inner core according to nuclear numbers of an MIC card; enabling an MIC end to calculate equilibrium state distribution functions of all lattice points in various directions through the macroscopic parameters (the density, the speed, the Reynolds numbers and a coefficient of viscosity and the like) so as to enable the equilibrium state distribution functions to serve as a computational initial field, performing parallel solving of a discrete equation and a processing edge, and enabling results obtained by final iteration to be passed back to a CPU end. The characteristic of rapid calculation of an MICMIC end is utilized to participate in calculation of migration and collision in lattice-Boltzmann, and the iterative process of the lattice-Boltzmann is accelerated by coordinated operation of the CPUCPU end and the MICMIC end.

Description

technical field [0001] The invention relates to the field of computer high-performance computing and computational fluid dynamics, in particular to a method for rapidly realizing lattice-Boltzmann acceleration by utilizing Intel's MIC. Background technique [0002] Lattice Boltzmann Method (Lattice Boltzmann Method, LBM) has been developed into an effective numerical simulation method in the past 20 years, which is an intermediate between microscopic molecular dynamics methods and macroscopic methods based on the continuum assumption view method. This method is different from the traditional fluid simulation method. It is based on the molecular kinetic theory, and obtains the macroscopically averaged properties by tracking the transport of the particle distribution function and then calculating the moment of the distribution function. The dynamic theory of the lattice Boltzmann method makes it more effective in simulating many complex flows, such as porous media flow, suspe...

AI Technical Summary

Problems solved by technology

This approach consumes a lot of time, power and maintenance costs due to the low peak floating-point computing power of the CPU and the huge network transmission overhead.

Moreover, as people's requirements for fluid simulation cycles are getting shorter and higher, and the accuracy requirements are getting higher and higher, the scale of PC server clusters is getting bigger and bigger. Manageability, ease of programming, scalability, management and maintenance costs, etc. are facing huge challenges

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