traditional methods usually based on statistical and machine learning methods

In contrast, the analysis of HPC data, traditional methods usually based on statistical and machine learning methods, and use data analysis and data mining. Dr. Elmaghraby University of Louisville, said: "These methods do not consider the human perspective as much as possible, architectural visualization because these limitations, the user's input has been restricted."
Visualization, HPC and scientific research
Used in HPC visualization has become an indispensable tool for scientific research. The use of visualization across science, engineering research and design and other fields. For example, Wilgenbusch Ph.D. at Florida State University led the (FSU), a laboratory, the weather physics, molecular dynamics, earth, ocean and atmospheric modeling of the visualization. For him, a wide range of visualization applications, one of which is the analysis of large-scale or even micro-time dimension time dimension within the astronomical phenomenon: "the weather patterns, we deal with for a long period of time, place huge astronomical phenomena. in order to appreciate these astronomical phenomena, we can use visualization to accelerate the incident,architectural rendering so that we can see the evolution of these systems. For molecular dynamics, we are basically doing the opposite thing children - occurred in a very small physical space of a very quick process to slow down, so that we can begin to appreciate what happened. "
Figure 2 shows a visualization of Manhattan and the air pollution analysis. Illustration shows the airflow around the Empire State Building for more information.