基于MPI的并行計算可視化的研究.pdf

1、中國地質(zhì)大學(xué)（北京）碩士學(xué)位論文基于MPI的并行計算可視化的研究姓名：張帆申請學(xué)位級別：碩士專業(yè)：計算機(jī)應(yīng)用技術(shù)指導(dǎo)教師：管建和200705013 ABSTRACT The technology of modern computer has stimulated the rapid growth of the computational science and the science demand of high performance

2、 of computing. But the limit of speed and technology has embarrassed the PC to be used widely. Single processing machine can far satisfy the demand of computing resource that the challenging and large-scale computing sub

3、ject need in many modern fields. One popular and effective method is to use parallel computing to improve parallel computing capability. With the development of the parallel technology and application, the performance a

4、nalysis and visualization of parallel program is one of the most important parts of parallel computing. In real applications, the gap between the applications’ real performance and the machines’ peak performance is widen

5、ing. The performance analysis and visualization tool is needed to solve this problem and find out performance bottlenecks quickly by intuitionistically graphics. Then users can develop high performance programs that exec

6、ute efficiently on high performance computer. There are some internal and external correlative studies. Based on these researches, this paper presents a performance analysis and visualization system frame and brings forw

7、ard the method of after event to build the frame model. A parallel program performance analysis system based on the frame model is developed to analyze and visualize performance of parallel programs. The system is used t

8、o analyze and visualize parallel programs that use MPI as the parallel support environment. It has good portability and is easy to use. This system mainly analyzes and visualizes the speedup, efficiency and percentage of

9、 using CPU. According to the speedup and efficiency theory computation formula and a performance analysis celebrating method and a practical method to evaluate program execution time and read the percentage of using CPU

10、in the process of parallel computing, we use the program language of C# to design the graphical interface of system to visualize performance data. It provides various difference views. It helps to know the status of prog