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

Journal Article · · Modelling and Simulation in Materials Science and Engineering
ORCiD logo [1];  [2];  [2];  [3]
  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

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.

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Basic Energy Sciences (BES)
Grant/Contract Number:
AC52-07NA27344; SC0010412
OSTI ID:
1566792
Report Number(s):
LLNL-JRNL-764558; 954564
Journal Information:
Modelling and Simulation in Materials Science and Engineering, Vol. 27, Issue 7; ISSN 0965-0393
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 10 works
Citation information provided by
Web of Science

References (23)

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