Abstract

With the rapid development of computer hardware, software and network technology, the size of data is growing exponentially. Recently, large scientific computing data visualization becomes one of the important researches in scientific computing. This paper introduces the definition of big data, visualization analysis field and the significance of scientific computing for large data visualization. In the following part, we analyze and discuss the traditional scientific visualization methods, and introduce the algorithms in classification according to different types of datasets. We analyze the weak points of traditional methods in visualization of scientific computing, and then introduce the method of large data parallel computing and rendering based on GPU. Finally, combining the research of our group on scientific computing theory and application, we point out the direction for future work of scientific computing visualization with large data development.

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