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in creator/contributor: "Pugmire, David"  
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open access

Recent Advances in VisIt: AMR Streamlines and Query-Driven Visualization

Description: Adaptive Mesh Refinement (AMR) is a highly effective method for simulations spanning a large range of spatiotemporal scales such as those encountered in astrophysical simulations. Combining research in novel AMR visualization algorithms and basic infrastructure work, the Department of Energy's (DOEs) Science Discovery through Advanced Computing (SciDAC) Visualization and Analytics Center for Enabling Technologies (VACET) has extended VisIt, an open source visualization tool that can handle AMR … more
Date: November 12, 2009
Creator: Weber, Gunther; Ahern, Sean; Bethel, Wes; Borovikov, Sergey; Childs, Hank; Deines, Eduard et al.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
open access

Scalable Computation of Streamlines on Very Large Datasets

Description: Understanding vector fields resulting from large scientific simulations is an important and often difficult task. Streamlines, curves that are tangential to a vector field at each point, are a powerful visualization method in this context. Application of streamline-based visualization to very large vector field data represents a significant challenge due to the non-local and data-dependent nature of streamline computation, and requires careful balancing of computational demands placed on I/O, m… more
Date: September 1, 2009
Creator: Pugmire, David; Childs, Hank; Garth, Christoph; Ahern, Sean & Weber, Gunther H.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
open access

Extreme Scaling of Production Visualization Software on Diverse Architectures

Description: We present the results of a series of experiments studying how visualization software scales to massive data sets. Although several paradigms exist for processing large data, we focus on pure parallelism, the dominant approach for production software. These experiments utilized multiple visualization algorithms and were run on multiple architectures. Two types of experiments were performed. For the first, we examined performance at massive scale: 16,000 or more cores and one trillion or more ce… more
Date: December 22, 2009
Creator: Childs, Henry; Pugmire, David; Ahern, Sean; Whitlock, Brad; Howison, Mark; Weber, Gunther et al.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
open access

Occam's Razor and Petascale Visual Data Analysis

Description: One of the central challenges facing visualization research is how to effectively enable knowledge discovery. An effective approach will likely combine application architectures that are capable of running on today?s largest platforms to address the challenges posed by large data with visual data analysis techniques that help find, represent, and effectively convey scientifically interesting features and phenomena.
Date: June 12, 2009
Creator: Bethel, E. Wes; Johnson, Chris; Ahern, Sean; Bell, John; Bremer, Peer-Timo; Childs, Hank et al.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
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