报告时间：2019年6月21日（星期五）14:00
报告地点：浙江大学紫金港校区蒙民伟楼402室
报告题目：An end-to-end in situ data processing, analysis, and visualization pipeline
主讲人：沈汉威  教授（俄亥俄州立大学）
主持人：巫英才研究员

Abstract: As exascale computing architectures are being developed, the future generation systems will be much more constrained with respect to data movement and storage space. In order to support analytics of data generated from large-scale simulations, it is crucial to develop an in situ data processing workflow that can support both the online and offline data analysis and visualization needs.  An ideal situ workflow consists of a two-stage process: online processing and offline analysis. Online processing refers to handling simulation outputs during the simulation run, and storing only reduced data that are much smaller than simulation outputs. Offline analysis refers to analyzing and visualizing the reduced data to deliver insights into the simulation for scientific discovery. In this talk I will highlight our recent effort in developing an end-to-end in situ data processing and analytics workflow. This includes online data modeling using various types of distributions, sample-based offline scalar and vector field visualization algorithms, and interactive query and visualization interface for the reduced data. Several case studies will be presented to show the benefits of our approaches.

Bio: Han-Wei Shen is a Full Professor at The Ohio State University. He is currently an Associate-Editor-in-Chief for IEEE Transactions on Visualization and Computer Graphics (TVCG). He is also the chair of the IEEE SciVis conference steering committee. His primary research interests are scientific visualization and computer graphics. Professor Shen is a winner of National Science Foundation's CAREER award and US Department of Energy's Early Career Principal Investigator Award.  He has published more than thirty papers in IEEE Pacific Vis, and more than fifty papers in IEEE TVCG and IEEE Vis. He received his BS degree from Department of Computer Science and Information Engineering at National Taiwan University in 1988, the MS degree in computer science from the State University of New York at Stony Brook in 1992, and the PhD degree in computer science from the University of Utah in 1998. From 1996 to 1999, he was a research scientist at NASA Ames Research Center in Mountain View California.