Application of High-Performance Visual Analysis Methods to Laser Wakefield Particle Acceleration Data.

Rubel, O. ; Prabhat, M. ; Wu, K. ; Childs, H. ; Meredith, J. ; Michel, E.

Technical Information Center Oak Ridge Tennessee

关键词: Acceleration;    Lasers;    Accelerators;    Data base management;    Mining;   

RP-ID  :  DE2008940566

学科分类：工程和技术（综合）

美国|英语

来源: National Technical Reports Library

【 摘 要 】

Our work combines and extends techniques from high-performance scientific data management and visualization to enable scientific researchers to gain insight from extremely large, complex, time-varying laser wakefield particle accelerator simulation data. We extend histogram-based parallel coordinates for use in visual information display as well as an interface for guiding and performing data mining operations, which are based upon multi-dimensional and temporal thresholding and data subsetting operations. To achieve very high performance on parallel computing platforms, we leverage FastBit, a state-of-the-art index/query technology, to accelerate data mining and multi-dimensional histogram computation. We show how these techniques are used in practice by scientific researchers to identify, visualize and analyze a particle beam in a large, time-varying dataset.