Oh $#*@! Exascale!: The effect of emerging architectures on data analysis software (SOS 17 version)
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IEEE Transactions on Visualization and Computer Graphics
The most common abstraction used by visualization libraries and applications today is what is known as the visualization pipeline. The visualization pipeline provides a mechanism to encapsulate algorithms and then couple them together in a variety of ways. The visualization pipeline has been in existence for over 20 years, and over this time many variations and improvements have been proposed. This paper provides a literature review of the most prevalent features of visualization pipelines and some of the most recent research directions. © 1995-2012 IEEE.
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Proceedings - 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, SCC 2012
The predictions for exascale computing are dire. Although we have benefited from a consistent supercomputer architecture design, even across manufacturers, for well over a decade, recent trends indicate that future high-performance computers will have different hardware structure and programming models to which software must adapt. This paper provides an informal discussion on the ways in which changes in high-performance computing architecture will profoundly affect the scalability of our current generation of scientific visualization and analysis codes and how we must adapt our applications, workflows, and attitudes to continue our success at exascale computing. © 2012 IEEE.
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Proposed for publication in IEEE Computer Magazine.
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