Interactive visualization of HPC data by 4-D street view
Project/Area Number |
16K12434
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Multi-year Fund |
Research Field |
High performance computing
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Research Institution | Kobe University |
Principal Investigator |
Akira Kageyama 神戸大学, システム情報学研究科, 教授 (20260052)
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Project Period (FY) |
2016-04-01 – 2018-03-31
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Project Status |
Completed (Fiscal Year 2017)
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Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2016: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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Keywords | データ可視化 / 大規模シミュレーション / 全方位可視化 / 計算機シミュレーション / 可視化 / 計算物理 / ハイパフォーマンス・コンピューティング |
Outline of Final Research Achievements |
To realize an interactive in-situ visualization for HPC, we have developed a new method, "4-dimensional street view". The following tools and methods are developed. (1) In-situ and omnidirectional visualization library. This library uses an open-source visualization framework, KVS, for its basic renderer. (2) An MPMD (Multiple-Program Multiple Data) framework to perform simulation and visualization at once on the same supercomputer system. (3) "Movie database browser" by which we can interactively extract a sequence of still images from a four-dimensional space of visualized images. The 4-D street view method developed in this study is successfully applied to a magnetohydrodynamics simulation. We can view simulation data from various points inside and outside the simulation region and can interactively change the viewpoint and direction.
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Report
(3 results)
Research Products
(17 results)