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ETH: A Framework for the Design-Space Exploration of Extreme-Scale Visualization

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dc.contributor.authorAbrams, Gregoryen
dc.contributor.authorAdhinarayanan, Vigneshen
dc.contributor.authorFeng, Wu-chunen
dc.contributor.authorRogers, Daviden
dc.contributor.authorAhrens, Jamsen
dc.contributor.authorWilson, Lukeen
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2017-09-29T18:15:22Zen
dc.date.available2017-09-29T18:15:22Zen
dc.date.issued2017-09-29en
dc.description.abstractAs high-performance computing (HPC) moves towards the exascale era, large-scale scientific simulations are generating enormous datasets. A variety of techniques (e.g., in-situ methods, data sampling, and compression) have been proposed to help visualize these large datasets under various constraints such as storage, power, and energy. However, evaluating these techniques and understanding the various trade-offs (e.g., performance, efficiency, quality) remains a challenging task. To enable the investigation and optimization across such tradeoffs, we propose a toolkit for the early-stage exploration of visualization and rendering approaches, job layout, and visualization pipelines. Our framework covers a broader parameter space than existing visualization applications such as ParaView and VisIt. It also promotes the study of simulation-visualization coupling strategies through a data-centric approach, rather than requiring the code itself. Furthermore, with experimentation on an extensively instrumented supercomputer, we study more metrics of interest than was previously possible. Overall, our framework will help to answer important what-if scenarios and trade-off questions in early stages of pipeline development, helping scientists to make informed choices about how to best couple a simulation code with visualization at extreme scale.en
dc.description.sponsorshipThis material is based upon work supported by Dr. Lucy Nowell of the U.S. Department of Energy Office of Science, Advanced Scientific Computing Research under Award Numbers DE-SC0012513, DE-SC0012637, and DE-SC-0012516. We would like to acknowledge Galen Gisler (LANL) for the asteroid simulation and contributors to the hardware/hybrid accelerated cosmology Code (HACC). This work was published under LANL release LA-UR-17-26715.en
dc.identifier.trnumberTR-17-05en
dc.identifier.urihttp://hdl.handle.net/10919/79454en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.relation.ispartofComputer Science Technical Reportsen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectHigh Performance Computingen
dc.subjectParallel and Distributed Computingen
dc.subjectComputer Systemsen
dc.subjectAlgorithmsen
dc.subjectComputational Science and Engineeringen
dc.subjectModeling and Simulationen
dc.titleETH: A Framework for the Design-Space Exploration of Extreme-Scale Visualizationen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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