In situ visualization of radiation transport geometry

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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 languageEnglish
Title of host publicationProceedings of ISAV 2017
Subtitle of host publicationIn 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
PublisherAssociation for Computing Machinery, Inc
Pages7-11
Number of pages5
ISBN (Print)9781450351393
DOIs
StatePublished - Nov 12 2017
Event2017 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

NameProceedings 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

Conference

Conference2017 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
Country/TerritoryUnited States
CityDenver
Period11/12/17 → …

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.

FundersFunder number
Office of Scientific Computing Research14-017566
U.S. Department of Energy
Office of Science

    Keywords

    • In situ
    • Scientific visualization

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