Simulation and Visualization

Abstract

Scientific visualization is a key technology for efficiently obtaining new scientific knowledge and insights from a large amount of data using visual information. And it has developed mainly in the natural sciences, especially in the field of computational science, and has now widely spread to various academic fields, including not only science and engineering but also life science and social science. Recently, big data analysis and AI have increased the demand for the integration of data science and computational science to solve progressively complex scientific and social problems, and the data processed on high-performance computing environments is becoming increasingly diverse. Visualization and analysis techniques are becoming more important to obtain scientific knowledge that can be interpreted by humans from such a wide variety of large-scale data. In this paper, we review the past research on scientific visualization for numerical simulation, and discuss recent trends, challenges, and prospects for the future.