Enabling Large-Scale Depletion in Serpent 2 Monte Carlo Code by Collision-Based Domain Decomposition

Ana Jambrina; Jaakko Leppänen; Manuel García

Enabling Large-Scale Depletion in Serpent 2 Monte Carlo Code by Collision-Based Domain Decomposition

Ana Jambrina^*
, Jaakko Leppänen
, Manuel García

^*Corresponding author for this work

Lappeenranta-Lahti University of Technology LUT
Karlsruhe Institute of Technology (KIT)

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

High-performance computing enables large-scale high-fidelity calculations. However, depletion calculations in neutron transport Monte Carlo demand massive memory resources. Consequently, a memory scalability methodology to overcome such bottleneck has been developed. The proposed approach, implemented in the Serpent 2 Monte Carlo code, is based on data decomposition for burnable materials and a domain decomposition particle-tracking algorithm, under a hybrid MPI-OpenMP parallel scheme. The collision-based domain decomposition (CDD) feature has initially been tested in PWR-like systems, showing memory scalability and computational performance. This work presents further analysis for a pin-by-pin full-core depletion calculation for the BEAVRS PWR benchmark.

Original language	English
Title of host publication	Mathematics & Computation (M&C) 2021
Publisher	American Nuclear Society (ANS)
Pages	88-99
ISBN (Electronic)	978-1-71388-631-0
Publication status	Published - 2021
MoE publication type	A4 Article in a conference publication
Event	International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M&C 2021 - Virtual, Raleigh, United States Duration: 11 Apr 2021 → 15 Apr 2021

Publication series

Series	Transactions of the American Nuclear Society
Number	3141
ISSN	0003-018X

Conference

Conference	International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M&C 2021
Country/Territory	United States
City	Raleigh
Period	11/04/21 → 15/04/21

Funding

This work was partially funded by Fortum & Neste Foundation (Finland), under grant agreement No. 20190207 (2019) and No. 20200149 (2020) - SMR Safety Analysis and Design Framework.

Keywords

domain decomposition
high-performance computing
large-scale depletion
Serpent 2

Access to Document

https://www.ans.org/pubs/proceedings/article-49983/

Cite this

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title = "Enabling Large-Scale Depletion in Serpent 2 Monte Carlo Code by Collision-Based Domain Decomposition",

abstract = "High-performance computing enables large-scale high-fidelity calculations. However, depletion calculations in neutron transport Monte Carlo demand massive memory resources. Consequently, a memory scalability methodology to overcome such bottleneck has been developed. The proposed approach, implemented in the Serpent 2 Monte Carlo code, is based on data decomposition for burnable materials and a domain decomposition particle-tracking algorithm, under a hybrid MPI-OpenMP parallel scheme. The collision-based domain decomposition (CDD) feature has initially been tested in PWR-like systems, showing memory scalability and computational performance. This work presents further analysis for a pin-by-pin full-core depletion calculation for the BEAVRS PWR benchmark.",

keywords = "domain decomposition, high-performance computing, large-scale depletion, Serpent 2",

author = "Ana Jambrina and Jaakko Lepp{\"a}nen and Manuel Garc{\'i}a",

note = "Publisher Copyright: Copyright {\textcopyright} 2021 AMERICAN NUCLEAR SOCIETY, INCORPORATED, LA GRANGE PARK, ILLINOIS 60526.All rights reserved.; International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M\&C 2021 ; Conference date: 11-04-2021 Through 15-04-2021",

year = "2021",

language = "English",

series = "Transactions of the American Nuclear Society",

publisher = "American Nuclear Society (ANS)",

number = "3141",

pages = "88--99",

booktitle = "Mathematics \& Computation (M\&C) 2021",

address = "United States",

}

Jambrina, A , Leppänen, J & García, M 2021, Enabling Large-Scale Depletion in Serpent 2 Monte Carlo Code by Collision-Based Domain Decomposition. in Mathematics & Computation (M&C) 2021., 49983, American Nuclear Society (ANS), Transactions of the American Nuclear Society, no. 3141, pp. 88-99, International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M&C 2021, Raleigh, North Carolina, United States, 11/04/21. <https://www.ans.org/pubs/proceedings/article-49983/>

Enabling Large-Scale Depletion in Serpent 2 Monte Carlo Code by Collision-Based Domain Decomposition. / Jambrina, Ana ; Leppänen, Jaakko; García, Manuel.
Mathematics & Computation (M&C) 2021. American Nuclear Society (ANS), 2021. p. 88-99 49983 (Transactions of the American Nuclear Society; No. 3141).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Enabling Large-Scale Depletion in Serpent 2 Monte Carlo Code by Collision-Based Domain Decomposition

AU - Jambrina, Ana

AU - Leppänen, Jaakko

AU - García, Manuel

PY - 2021

Y1 - 2021

N2 - High-performance computing enables large-scale high-fidelity calculations. However, depletion calculations in neutron transport Monte Carlo demand massive memory resources. Consequently, a memory scalability methodology to overcome such bottleneck has been developed. The proposed approach, implemented in the Serpent 2 Monte Carlo code, is based on data decomposition for burnable materials and a domain decomposition particle-tracking algorithm, under a hybrid MPI-OpenMP parallel scheme. The collision-based domain decomposition (CDD) feature has initially been tested in PWR-like systems, showing memory scalability and computational performance. This work presents further analysis for a pin-by-pin full-core depletion calculation for the BEAVRS PWR benchmark.

AB - High-performance computing enables large-scale high-fidelity calculations. However, depletion calculations in neutron transport Monte Carlo demand massive memory resources. Consequently, a memory scalability methodology to overcome such bottleneck has been developed. The proposed approach, implemented in the Serpent 2 Monte Carlo code, is based on data decomposition for burnable materials and a domain decomposition particle-tracking algorithm, under a hybrid MPI-OpenMP parallel scheme. The collision-based domain decomposition (CDD) feature has initially been tested in PWR-like systems, showing memory scalability and computational performance. This work presents further analysis for a pin-by-pin full-core depletion calculation for the BEAVRS PWR benchmark.

KW - domain decomposition

KW - high-performance computing

KW - large-scale depletion

KW - Serpent 2

UR - https://www.scopus.com/pages/publications/85183598724

M3 - Conference article in proceedings

AN - SCOPUS:85183598724

T3 - Transactions of the American Nuclear Society

SP - 88

EP - 99

BT - Mathematics & Computation (M&C) 2021

PB - American Nuclear Society (ANS)

T2 - International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M&C 2021

Y2 - 11 April 2021 through 15 April 2021

ER -

Enabling Large-Scale Depletion in Serpent 2 Monte Carlo Code by Collision-Based Domain Decomposition

Abstract

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Keywords

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