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原文传递 Visualization of Scalar Adaptive Mesh Refinement Data

题名：	Visualization of Scalar Adaptive Mesh Refinement Data
作者：	Bethel, E. Wes;Van Straalen, Brian;Miller, Mark C.;Ligocki, Terry J.;Childs, Hank;Beckner, Vince E.;Weber, Gunther H.;Weber, Gunther;VACET;
关键词：	ARM VTK AVS IDL LUT42; PLASMA; SCALARS; SIMULATION
摘要：	Adaptive Mesh Refinement (AMR) is a highly effective computation method for simulations that span a large range of spatiotemporal scales, such as astrophysical simulations, which must accommodate ranges from interstellar to sub-planetary. Most mainstream visualization tools still lack support for AMR grids as a first class data type and AMR code teams use custom built applications for AMR visualization. The Department of Energy's (DOE's) Science Discovery through Advanced Computing (SciDAC) Visualization and Analytics Center for Enabling Technologies (VACET) is currently working on extending VisIt, which is an open source visualization tool that accommodates AMR as a first-class data type. These efforts will bridge the gap between general-purpose visualization applications and highly specialized AMR visual analysis applications. Here, we give an overview of the state of the art in AMR scalar data visualization research.
报告类型：	科技报告