Abstract
The ultimate goal for radiation transport is to perform full-core reactor modelling and simulation. Advances in computational simulation bring this goal close to reality and the newest Monte Carlo transport codes have begun to shift to using accelerators that have become a stalwart in the supercomputing and HPC space. Within the reactor modelling and simulation community, Monte Carlo transport simulations are considered the gold standard for simulation. Through the use of “combinatorial geometry” (constructive solid geomtry), complex models can be used with fewer approximation compromises while at the same time scale to run on some of the largest supercomputers in the world. Unfortunately, the state-of-the-art for “combinatorial geometry” visualization is to decompose the geometry into a mesh. This approach could require a significant amount of memory which is antithetical to in situ visualization. To address this issue, we introduce a ray caster for visualizing combinatorial geometry in radiation transport code. By only using the accelerators for the radiation transport code and leaving the CPU cores idle, there is an opportunity to conduct on node in situ visualization with the idle CPU cores, something domain experts have up to this point been unable to do. By utilizing VTK-m, the visualization can be run on the CPU as this particular application demands, but also run on any architecture that is supported by VTK-m, enabling future re-use across different platforms.
Original language | English |
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Title of host publication | Proceedings of ISAV 2017 |
Subtitle of host publication | In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization - Held in conjunction with SC 2017: The International Conference for High Performance Computing, Networking, Storage and Analysis |
Publisher | Association for Computing Machinery, Inc |
Pages | 7-11 |
Number of pages | 5 |
ISBN (Print) | 9781450351393 |
DOIs | |
State | Published - Nov 12 2017 |
Event | 2017 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, ISAV 2017 - Held in conjunction with the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2017 - Denver, United States Duration: Nov 12 2017 → … |
Publication series
Name | Proceedings of ISAV 2017: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization - Held in conjunction with SC 2017: The International Conference for High Performance Computing, Networking, Storage and Analysis |
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Conference
Conference | 2017 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, ISAV 2017 - Held in conjunction with the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2017 |
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Country/Territory | United States |
City | Denver |
Period | 11/12/17 → … |
Funding
We would like to thank the reviewers for their valuable input. This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Scientific Computing Research, Award Number 14-017566 and the Exascale Computing Project.
Keywords
- In situ
- Scientific visualization