DOE's SciDAC Visualization and Analytics Center for EnablingTechnologies -- Strategy for Petascale Visual Data Analysis Success

Bethel, E Wes ; Johnson, Chris ; Aragon, Cecilia ; Rubel, Oliver ; Weber, Gunther ; Pascucci, Valerio ; Childs, Hank ; Bremer, Peer-Timo ; Whitlock, Brad ; Ahern, Sean ; Meredith, Jeremey ; Ostrouchov, George ; Joy, Ken ; Hamann, Bernd ; Garth, Christoph ; Cole, Martin

关键词: A CENTERS;    COMPUTERS;    DATA ANALYSIS;    EXPLORATION scientific visualization petascale visualization;   

DOI  :  10.2172/932587
RP-ID  :  LBNL--63701
PID  :  OSTI ID: 932587
Others  :  R&D Project: KS0612
Others  :  Other: BnR: KJ0101030
Others  :  TRN: US200815%%359

学科分类：社会科学、人文和艺术（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

The focus of this article is on how one group of researchersthe DOE SciDAC Visualization and Analytics Center for EnablingTechnologies (VACET) is tackling the daunting task of enabling knowledgediscovery through visualization and analytics on some of the world slargest and most complex datasets and on some of the world's largestcomputational platforms. As a Center for Enabling Technology, VACET smission is the creation of usable, production-quality visualization andknowledge discovery software infrastructure that runs on large, parallelcomputer systems at DOE's Open Computing facilities and that providessolutions to challenging visual data exploration and knowledge discoveryneeds of modern science, particularly the DOE sciencecommunity.