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Title: GPU-accelerated dislocation dynamics using subcycling time-integration

Abstract

Discrete dislocation dynamics (DDD) simulations are being increasingly employed to investigate metal plasticity at the mesoscale. However, in spite of its ability to access beyond the length and time limits of atomistic methods, the DDD model is still limited by its high computational cost, with ranges of achievable strains too low and strain rates too high by several orders of magnitude compared with typical experimental conditions. By combining the efficiency of the recently developed subcycling time-integrator with the highly parallel architecture of graphics processing unit (GPU) devices, we developed a DDD model that provides significant acceleration compared to existing implementations. Our GPU-accelerated implementation enables large-scale DDD simulations that can reach relevant levels of strain using a moderate amount of computational resources.

Authors:
ORCiD logo [1];  [2];  [2];  [3]
+ Show Author Affiliations
  1. Stanford Univ., CA (United States). Dept. of Mechanical Engineering; Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  3. Stanford Univ., CA (United States). Dept. of Mechanical Engineering
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1566792
Report Number(s):
LLNL-JRNL-764558
Journal ID: ISSN 0965-0393; 954564
Grant/Contract Number:  
AC52-07NA27344; SC0010412
Resource Type:
Accepted Manuscript
Journal Name:
Modelling and Simulation in Materials Science and Engineering
Additional Journal Information:
Journal Volume: 27; Journal Issue: 7; Journal ID: ISSN 0965-0393
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; Dislocations; DDD; GPU

Citation Formats

Bertin, N., Aubry, S., Arsenlis, A., and Cai, W. GPU-accelerated dislocation dynamics using subcycling time-integration. United States: N. p., 2019. Web. doi:10.1088/1361-651X/ab3a03.
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Bertin, N., Aubry, S., Arsenlis, A., & Cai, W. GPU-accelerated dislocation dynamics using subcycling time-integration. United States. doi:10.1088/1361-651X/ab3a03.
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Bertin, N., Aubry, S., Arsenlis, A., and Cai, W. Wed . "GPU-accelerated dislocation dynamics using subcycling time-integration". United States. doi:10.1088/1361-651X/ab3a03.
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@article{osti_1566792,
title = {GPU-accelerated dislocation dynamics using subcycling time-integration},
author = {Bertin, N. and Aubry, S. and Arsenlis, A. and Cai, W.},
abstractNote = {Discrete dislocation dynamics (DDD) simulations are being increasingly employed to investigate metal plasticity at the mesoscale. However, in spite of its ability to access beyond the length and time limits of atomistic methods, the DDD model is still limited by its high computational cost, with ranges of achievable strains too low and strain rates too high by several orders of magnitude compared with typical experimental conditions. By combining the efficiency of the recently developed subcycling time-integrator with the highly parallel architecture of graphics processing unit (GPU) devices, we developed a DDD model that provides significant acceleration compared to existing implementations. Our GPU-accelerated implementation enables large-scale DDD simulations that can reach relevant levels of strain using a moderate amount of computational resources.},
doi = {10.1088/1361-651X/ab3a03},
journal = {Modelling and Simulation in Materials Science and Engineering},
number = 7,
volume = 27,
place = {United States},
year = {2019},
month = {8}
}
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Journal Article:
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This content will become publicly available on August 28, 2020
Publisher's Version of Record
DOI:  10.1088/1361-651X/ab3a03
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