Multi-core parallel method for continuous system simulation based on TBB threading building blocks

A continuous system and thread construction technology, applied in multi-programming devices, special data processing applications, instruments, etc., can solve problems such as being in the initial stage, and achieve the effects of easy operation, shortening research cycle, and improving speed.

Inactive Publication Date: 2012-07-25
BEIHANG UNIV
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Problems solved by technology

However, research work on the combination of TBB and continuous system simulation is still in its infancy

Method used

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  • Multi-core parallel method for continuous system simulation based on TBB threading building blocks
  • Multi-core parallel method for continuous system simulation based on TBB threading building blocks
  • Multi-core parallel method for continuous system simulation based on TBB threading building blocks

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Embodiment Construction

[0025] The present invention will be further described in detail below in conjunction with accompanying drawings and examples.

[0026] A kind of continuous system simulation multi-core parallel method based on TBB thread building block of the present invention, flow process is as follows figure 1 shown, including the following steps:

[0027] Step 1: Build the TBB parallel computing platform;

[0028] Put the TBB file package in the computer, add the TBB include files, library files and executable files in the VC directory, and finally add the value of TBB20_INSTALL_DIR as C:\Program files\Intel\TBB\2.0 to the system environment variable.

[0029] Step 2: Construct a parallel ParaODES template class;

[0030] Prediction calculation and correction calculation are subtasks that can be processed in parallel, and the parallel_for template class is selected according to the characteristics of the parallel processing object. The parallel_for template class is the most commonly u...

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Abstract

The invention discloses a multi-core parallel method for continuous system simulation based on TBB threading building blocks. The method mainly comprises the following steps: step 1, building a TBB parallel computing platform; step 2, constructing a parallel ParaODES template catalog; step 3, carrying out model initialization; step 4, initializing TBB task scheduling; step 5, judging a simulationtime scope; step 6, calling the parallel ParaODES template; step 7, transferring a simulation result; and step 8, ending TBB task scheduling. The method can realize parallelization processing for continuous system simulation by TBB, improve the simulation calculating speed, meet the requirement of simulation real-time property, and shorten the simulation research period; by parallelization processing with the TBB, the method has simple and flexible process, easy operation and good expansibility; and the TBB adopts a multi-core architecture, which conforms to the development direction from thecurrent parallel technology to a multi-core platform.

Description

technical field [0001] The invention relates to a continuous system simulation multi-core parallel method based on a TBB thread building block (Thread Building Blocking), which belongs to the field of computer simulation and algorithm optimization. Background technique [0002] Continuous system simulation is widely used in fields such as aviation, aerospace, meteorology and electronics. With the development of these disciplines and technologies, the simulation models thus established are becoming more and more complex, and the amount of simulation calculations is increasing. [0003] Continuous system simulation usually uses differential equations to establish mathematical models, and differential equations have mature numerical solutions, such as Runge-Kutta method, Adams method, etc. However, the traditional serial method takes too long to calculate when solving large-scale problems, and it is difficult to meet the real-time requirements of simulation. Some complex probl...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/46G06F17/50
Inventor 李妮唐力勇
Owner BEIHANG UNIV
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