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Displaying 1-12 out of 12 total
Visualizing Temporal Patterns in Large Multivariate Data using Modified Globbing
Found in: IEEE Transactions on Visualization and Computer Graphics
By Markus Glatter, Jian Huang, Sean Ahern, Jamison Daniel, Aidong Lu
Issue Date:November 2008
pp. 1467-1474
Extracting and visualizing temporal patterns in large scientific data is an open problem in visualization research. First, there are few proven methods to flexibly and concisely define general temporal patterns for visualization. Second, with large time-de...
 
Extreme Scaling of Production Visualization Software on Diverse Architectures
Found in: IEEE Computer Graphics and Applications
By Hank Childs, David Pugmire, Sean Ahern, Brad Whitlock, Mark Howison, Prabhat, Gunther H. Weber, E. Wes Bethel
Issue Date:May 2010
pp. 22-31
A series of experiments studied how visualization software scales to massive data sets. Although several paradigms exist for processing large data, the experiments focused on pure parallelism, the dominant approach for production software. The experiments ...
 
Scalable computation of streamlines on very large datasets
Found in: SC Conference
By Dave Pugmire, Hank Childs, Christoph Garth, Sean Ahern, Gunther H. Weber
Issue Date:November 2009
pp. 1-12
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 s...
 
High performance multivariate visual data exploration for extremely large data
Found in: SC Conference
By Oliver RĂ¼bel, Prabhat, Kesheng Wu, Hank Childs, Jeremy Meredith, Cameron G. R. Geddes, Estelle Cormier-Michel, Sean Ahern, Gunther H. Weber, Peter Messmer, Hans Hagen, Bernd Hamann, E. Wes Bethel
Issue Date:November 2008
pp. 1-12
One of the central challenges in modern science is the need to quickly derive knowledge and understanding from large, complex collections of data. We present a new approach that deals with this challenge by combining and extending techniques from high perf...
 
Chromium Renderserver: Scalable and Open Remote Rendering Infrastructure
Found in: IEEE Transactions on Visualization and Computer Graphics
By Brian Paul, Sean Ahern, Wes Bethel, Eric Brugger, Rich Cook, Jamison Daniel, Ken Lewis, Jens Owen, Dale Southard
Issue Date:May 2008
pp. 627-639
Chromium Renderserver (CRRS) is software infrastruc-ture that provides the ability for one or more users to run and view image output from unmodified, interactive OpenGL and X11 applications on a remote, parallel computational platform equipped with graphi...
 
Extreme Scaling of Production Visualization Software on Diverse Architectures
Found in: IEEE Computer Graphics and Applications
By Hank Childs, David Pugmire, Sean Ahern, Brad Whitlock, Mark Howison, Mr Prabhat, Gunther Weber, Wes Bethel
Publication Date: March 2011
pp. N/A
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...
 
A tale of two systems: flexibility of usage of Kraken and Nautilus at the National Institute for Computational Sciences
Found in: Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the campus and beyond (XSEDE '12)
By Amy F. Szczepański, Jian Huang, Mark R. Fahey, Sean Ahern
Issue Date:July 2012
pp. 1-8
The National Institute for Computational Sciences (NICS) at the University of Tennessee currently operates two computational resources for the eXtreme Science and Engineering Discovery Environment (XSEDE), Kraken, a 112,896-core Cray XT5 for general purpos...
     
A distributed data-parallel framework for analysis and visualization algorithm development
Found in: Proceedings of the 5th Annual Workshop on General Purpose Processing with Graphics Processing Units (GPGPU-5)
By Sean Ahern, David Pugmire, Jeremy S. Meredith, Robert Sisneros
Issue Date:March 2012
pp. 11-19
The coming generation of supercomputing architectures will require fundamental changes in programming models to effectively make use of the expected million to billion way concurrency and thousand-fold reduction in per-core memory. Most current parallel an...
     
Scalable computation of streamlines on very large datasets
Found in: Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis (SC '09)
By Christoph Garth, Dave Pugmire, Gunther H. Weber, Hank Childs, Sean Ahern
Issue Date:November 2009
pp. 1-12
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 s...
     
Chromium: a stream-processing framework for interactive rendering on clusters
Found in: ACM SIGGRAPH ASIA 2008 courses (SIGGRAPH Asia '08)
By Greg Humphreys, James T. Klosowski, Mike Houston, Peter D. Kirchner, Randall Frank, Ren Ng, Sean Ahern
Issue Date:December 2008
pp. 1-10
We describe Chromium, a system for manipulating streams of graphics API commands on clusters of workstations. Chromium's stream filters can be arranged to create sort-first and sort-last parallel graphics architectures that, in many cases, support the same...
     
Chromium: a stream-processing framework for interactive rendering on clusters
Found in: Proceedings of the 29th annual conference on Computer graphics and interactive techniques (SIGGRAPH '02)
By Greg Humphreys, James T. Klosowski, Mike Houston, Peter D. Kirchner, Randall Frank, Ren Ng, Sean Ahern
Issue Date:July 2002
pp. 581
We describe Chromium, a system for manipulating streams of graphics API commands on clusters of workstations. Chromium's stream filters can be arranged to create sort-first and sort-last parallel graphics architectures that, in many cases, support the same...
     
Chromium: a stream-processing framework for interactive rendering on clusters
Found in: ACM Transactions on Graphics (TOG)
By Greg Humphreys, James T. Klosowski, Mike Houston, Peter D. Kirchner, Randall Frank, Ren Ng, Sean Ahern
Issue Date:January 1991
pp. 230-230
We describe Chromium, a system for manipulating streams of graphics API commands on clusters of workstations. Chromium's stream filters can be arranged to create sort-first and sort-last parallel graphics architectures that, in many cases, support the same...
     
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