Using Fractional Cascading to Accelerate Cross Section Lookups in Monte Carlo Neutron Transport Calculations
We describe and test a technique for carrying out energy grid searches in continuous-energy Monte Carlo (MC) neutron transport calculations that represents an optimal compromise between grid search performance and memory footprint. The method, based on the fractional cascading technique and referre...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en_US |
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American Nuclear Society
2017
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| Online Access: | http://hdl.handle.net/1721.1/108585 https://orcid.org/0000-0003-1459-7672 https://orcid.org/0000-0002-3210-5806 https://orcid.org/0000-0002-1147-045X |
| _version_ | 1811069130031235072 |
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| author | Lund, Amanda L. Siegel, Andrew M. Forget, Benoit Robert Yves Josey, Colin Romano, Paul Kollath |
| author2 | Lincoln Laboratory |
| author_facet | Lincoln Laboratory Lund, Amanda L. Siegel, Andrew M. Forget, Benoit Robert Yves Josey, Colin Romano, Paul Kollath |
| author_sort | Lund, Amanda L. |
| collection | MIT |
| description | We describe and test a technique for carrying out energy grid searches in continuous-energy Monte Carlo (MC) neutron transport calculations that represents an optimal compromise between grid search performance and memory footprint. The method, based on the fractional cascading technique and referred to as the cascade grid, is tested within the OpenMC Monte Carlo code, and performance results comparing the method with existing approaches are presented for the Hoogenboom-Martin reactor benchmark. The cascade grid achieves significant speedups in calculation rate with negligible initialization overhead while not increasing the memory footprint by more than 2x.
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| first_indexed | 2024-09-23T08:06:11Z |
| format | Article |
| id | mit-1721.1/108585 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T08:06:11Z |
| publishDate | 2017 |
| publisher | American Nuclear Society |
| record_format | dspace |
| spelling | mit-1721.1/1085852022-09-23T10:56:12Z Using Fractional Cascading to Accelerate Cross Section Lookups in Monte Carlo Neutron Transport Calculations Lund, Amanda L. Siegel, Andrew M. Forget, Benoit Robert Yves Josey, Colin Romano, Paul Kollath Lincoln Laboratory Massachusetts Institute of Technology. Department of Nuclear Science and Engineering Siegel, Andrew M. Forget, Benoit Robert Yves Josey, Colin Romano, Paul Kollath We describe and test a technique for carrying out energy grid searches in continuous-energy Monte Carlo (MC) neutron transport calculations that represents an optimal compromise between grid search performance and memory footprint. The method, based on the fractional cascading technique and referred to as the cascade grid, is tested within the OpenMC Monte Carlo code, and performance results comparing the method with existing approaches are presented for the Hoogenboom-Martin reactor benchmark. The cascade grid achieves significant speedups in calculation rate with negligible initialization overhead while not increasing the memory footprint by more than 2x. . 2017-05-02T16:20:40Z 2017-05-02T16:20:40Z 2015-04 Article http://purl.org/eprint/type/ConferencePaper http://hdl.handle.net/1721.1/108585 Lund, Amanda L., Andrew R. Siege, Benoit Forget, Colin Josey and Paul K. Romano. "Using Fractional Cascading to Accelerate Cross Section Lookups in Monte Carlo Neutron Transport Calculations" Article presented at the Joint International Conference on Mathematics and Computation (M&C), Supercomputing in Nuclear Applications (SNA) and the Monte Carlo (MC) Method. ANS MC2015 (Nashville, Tennessee, April 19–23, 2015). https://orcid.org/0000-0003-1459-7672 https://orcid.org/0000-0002-3210-5806 https://orcid.org/0000-0002-1147-045X en_US http://meetingsandconferences.com/mc2015/Program-schedule.html Joint International Conference on Mathematics and Computation (M&C), Supercomputing in Nuclear Applications (SNA) and the Monte Carlo (MC) Method. ANS MC2015 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf American Nuclear Society Prof. Forget via Chris Sherratt |
| spellingShingle | Lund, Amanda L. Siegel, Andrew M. Forget, Benoit Robert Yves Josey, Colin Romano, Paul Kollath Using Fractional Cascading to Accelerate Cross Section Lookups in Monte Carlo Neutron Transport Calculations |
| title | Using Fractional Cascading to Accelerate Cross Section Lookups in Monte Carlo Neutron Transport Calculations |
| title_full | Using Fractional Cascading to Accelerate Cross Section Lookups in Monte Carlo Neutron Transport Calculations |
| title_fullStr | Using Fractional Cascading to Accelerate Cross Section Lookups in Monte Carlo Neutron Transport Calculations |
| title_full_unstemmed | Using Fractional Cascading to Accelerate Cross Section Lookups in Monte Carlo Neutron Transport Calculations |
| title_short | Using Fractional Cascading to Accelerate Cross Section Lookups in Monte Carlo Neutron Transport Calculations |
| title_sort | using fractional cascading to accelerate cross section lookups in monte carlo neutron transport calculations |
| url | http://hdl.handle.net/1721.1/108585 https://orcid.org/0000-0003-1459-7672 https://orcid.org/0000-0002-3210-5806 https://orcid.org/0000-0002-1147-045X |
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