TODAY: 124th NIA CFD Seminar Webcast: High-Performance Flow Visualization: Research, Development, and Application by Zhanping Liu

124th NIA CFD Seminar

Topic: High-Performance Flow Visualization: Research, Development, and Application

Date: Friday, March 6, 2020

Time: 11:00am-noon (EDT)

Room: NIA, Rm137

Speakers: Zhanping Liu

Speakers Bio:

Lingquan Dr. Zhanping Liu is a tenure-track assistant professor with the department of Computational Modeling and Simulation Engineering at Old Dominion University. He was a USRA (Universities Space Research Association) faculty visitor of the division of NASA Advanced Supercomputing (NAS) at NASA Ames Research Center (May ~ July, 2014) and an FRPP (Faculty Research Participation Program) faculty visitor of the division of Mathematics and Computer Science (MCS) at Argonne National Lab (May ~ July, 2013) during his employment as a tenure-track assistant professor with the department of Computer Science at Kentucky State University (2011 ~ 2016). Much earlier, Dr. Liu was a research fellow of the Bio-medical Image Analysis Group of the School of Medicine at the University of Pennsylvania (2010 ~ 2011), a research staff member of the Scientific Computing and Visualization Group at Kitware, Inc. (“Leaders in Visualization Technology”, 2008 ~ 2010), a research scientist of the Visualization Analysis and Imaging Lab (VAIL) of the High- Performance Computing Collaboratory (HPC2) at Mississippi State University (2001 ~ 2008), and a post- doctoral associate of the Micro-CT Image Reconstruction and Volume Visualization Lab of the College of Medicine at the University of Iowa (2000 ~ 2001). He received the PhD degree in Computer Science from Peking University (2000) and the BS degree in Mathematics from Nankai University (1992). His research interests consist in scientific visualization (particularly vector / flow data visualization), parallel visualization (via GPU, multi-threading, and MPI), and data analysis. Since 1997, Dr. Liu has been performing not only algorithmic research but also system development (using C/C++) in scientific visualization. He has independently developed 9 data visualization systems / packages (VF-VTK, RadVis, Triton-II-Flow, ActiveLIC, ActiveIBFV, ActiveFLOVE, SynVizer, cuVis, and TB-CLIC), without dependence on any third-party library / tool. He participated in the development of VTK, ParaView, and DOXIV. More information about his work and personal hobbies are available at

Abstract: Scientific visualization is an important application of computer graphics to scientific computing by providing deep insight into the pattern underlying large-scale data. Vector data visualization, or flow visualization, plays a crucial role in a wide variety of areas such as oceanographic- atmospheric modeling, computational fluid dynamics simulation, and electro-magnetic field analysis, to name only a few. It is unique for depicting directional information in addition to the spatial distribution and geometric structures that scalar data visualization, as a sibling, is intended to reveal. The last two decades have seen many geometry-based and texture-based algorithms for visualizing flows ranging from steady to unsteady and from 2D to 3D. As we seek the most effective representations for exploring surface and volume flows, there are signs of revisiting geometry-based methods with further improvement, from texture-based approaches, and resorting to parallel visualization. This talk provides a high-level and sampling description of Dr. Liu’s algorithmic research and system development along this path in high-performance flow visualization over the past 20+ years, involving AUFLIC (Accelerated Unsteady Flow Line Integral Convolution), VAUFLIC (Volume AUFLIC), ADVESS (ADVanced Evenly Spaced Streamline placement), IVDESS (Interactive View-Driven Evenly Spaced Streamline placement), his two-year industrial experience at Kitware, Inc. for participating in the development of two large-scale cross-platform open-source general-purpose visualization packages VTK and ParaView, as well as his recent work on Parallel Flow Visualization (via GPU, multi-threading, and MPI). Also demonstrated are three ‘Active’ systems / packages (irrelevant to any project) that he independently developed for interactive flow visualization, i.e., ActiveLIC (Line Integral Convolution), ActiveIBFV (Image-Based Flow Visualization), and ActiveFLOVE (FLOw Visualization Environment).

Additional information, including the webcast link, can be found at the NIA CFD Seminar website: