The System Of Virtual Heart Based On Computational Steering

Heart disease is a major threat to human health killer, can be studied by means of computer simulation in the heart of quantitative and qualitative works, pathogenesis and drug influence. But the virtual heart simulation efficiency has been plagued by research staff.On the one hand, often you need to modify the parameters affect the test parameters of the experiment during the course of the experiment simulation experiments. Each time you modify parameters, you need to restart the simul ation, there is a problem of wasting time before modifying parameters, resulting in low efficiency experiments. In this paper, by means of computational steering to solve this problem.On the other hand, during the organizational model simulated volume is very large, use only with server clustering technology is possibole, but the server cluster hardware cost is too high, the paper discusses the GPU-based parallel algorithm simulation to solve the efficiency problem, making virtual heart on a personal compu ter simulation possible.The system uses a client/ server model, the client uses QT graphical interface and VTK data rendering technology as the base member, using the Py thon language. Control logic is descripted by a finite-state automaton. It defines a co mmunication method based on the TCP protocol between the client and server communicate.The service uses the CUDA technology to achieve a GPU parallel computing algorithms, and on a multi-GPU system expansion algorithm. Dynamic link library technology combined with Lua language to achieve a simulation model of cell-independent, so that the system can be easily extended with new cell model.This paper tested the efficiency, showed GPU parallel algorithm has a very distinct advantage in the amount of data is large. From the horizontal contrast the single GPU and multi-GPU speed of the algorithm, the results show that the multi-GPU algorithm can achieve better performance when there are multi-tissue,.Virtual heart simulation provides an effective research meth ods for people t o study the working mechanism of the heart, the heart of the pathogenic mechanism. This article combined the virtual heart simulation with computional steering, using GPU parallel computing algorithms to improve the efficiency of simulation experiment. The research provides a powerful platform for research personnel.