Data-intensive computing on numerically-insensitive supercomputers
James Ahrens, Patricia Fasel, Salman Habib, Katrin Heitmann, Li Ta Lo, John Patchett, Sean Williams, Jonathan Woodring, Joshua H. Wu, Chung Hsing Hsu
Abstract
James Ahrens, Patricia Fasel, Salman Habib, Katrin Heitmann, Li Ta Lo, John Patchett, Sean Williams, Jonathan Woodring, Joshua H. Wu, Chung Hsing Hsu
Abstract
With the advent of the era of petascale supercomputing, via the delivery of the Roadrunner supercomputing platform at Los Alamos National Laboratory, there is a pressing need to address the problem of visualizing massive petascale-sized results. In this presentation, I discuss progress on a number of approaches including in-situ analysis, multi-resolution out-of-core streaming and interactive rendering on the supercomputing platform. These approaches are placed in context by the emerging area of data-intensive supercomputing.
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With the advent of the era of petascale supercomputing, via the delivery of the Roadrunner supercomputing platform at Los Alamos National Laboratory, there is a pressing need to address the problem of visualizing massive petascale-sized results. In this presentation, I discuss progress on a number of approaches including in-situ analysis, multi-resolution out-of-core streaming and interactive rendering on the supercomputing platform. These approaches are placed in context by the emerging area of data-intensive supercomputing.
Key concepts: Petascale computing, Supercomputer, Computer science, Context (archaeology), Many core, High resolution, Parallel computing, Computational science