Ultrascale Visualization

作     者：Ahrens, James Shen, Han-Wei 

作者机构：Los Alamos Natl Lab Comp Sci High Performance Comp Grp Los Alamos NM 87545 USA Ohio State Univ Dept Comp Sci & Engn Columbus OH 43210 USA 

出 版 物：《IEEE COMPUTER GRAPHICS AND APPLICATIONS》 (IEEE Comput Graphics Appl)

年 卷 期：2010年第30卷第3期

页      面：20-21页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0835[工学-软件工程] 

基　　金：Han-Wei Shen is an associate professor in Ohio State University’s Department of Computer Science and Engineering. His research interests are scientific visualization and computer graphics. Shen has a PhD in computer science from the University of Utah. Contact him at hwshen@cse.ohio-state.edu 

主　　题：Collaborative visualization Computer graphics Data-parallel visualization Graphics and multimedia In situ visualization Ultrascale visualization Visualization 

摘      要：This special issue highlights five articles covering several topics in ultrascale data visualization, including extreme-scale production software, ghost-data generation, biomedical-image segmentation and remote viewing, in situ visualization, and display-rich global collaborative cyberinfrastructure. Underlying the different research focuses is a common theme: how to prepare ourselves to address the challenges brought by supercomputers that will soon include one million cores and beyond. Besides presenting new research ideas, the articles in this issue discuss current visualization software s limitations, the major bottleneck in future hardware architectures that will prevent us from developing scalable visualization solutions, the unification of software and hardware to enable remote collaboration, the future trend of biomedical imaging, and the need to create seamless workflows for data generation and analysis. © 2010 IEEE.