GPU accelerated dislocation dynamics
Journal of Computational Physics, ISSN: 0021-9991, Vol: 272, Page: 619-628
2014
- 9Citations
- 35Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
In this paper we analyze the computational bottlenecks in discrete dislocation dynamics modeling (associated with segment–segment interactions as well as the treatment of free surfaces), discuss the parallelization and optimization strategies, and demonstrate the effectiveness of Graphical Processing Unit (GPU) computation in accelerating dislocation dynamics simulations and expanding their scope. Individual algorithmic benchmark tests as well as an example large simulation of a thin film are presented.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0021999114003283; http://dx.doi.org/10.1016/j.jcp.2014.04.052; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84900792568&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0021999114003283; https://dx.doi.org/10.1016/j.jcp.2014.04.052
Elsevier BV
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