|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||Algorithm Development in Materials Science and Engineering
||GPU Accelerated Phase Field Dislocation Dynamics: Application to Bi-metallic Interfaces
||Adnan Eghtesad, Kai Germaschewski, Irene J. Beyerlein, Abigail Hunter , Marko Knezevic
|On-Site Speaker (Planned)
We present the first implementation of the meso-scale phase field dislocation dynamics (PFDD) model on a Graphics Processing Unit (GPU). The implementation takes advantage of OpenACC along with compute unified device architecture (CUDA) fast Fourier transform (FFT) library called CUFFT. The overall implementation is termed ACCPFDD-CUFFT which is entirely performance portable due to the use of OPENACC-CUDA inter-operability. A comprehensive benchmark study compared the FOURN from Numerical Recipes, Fastest Fourier Transform in the West (FFTW), and the CUFFT running on GPU. The novel ACCPFDD-CUFFT is verified using the analytical solutions for the stress field around an infinite edge dislocation and subsequently applied to simulate the interaction and motion of dislocations through a bi-phase copper-nickel (Cu-Ni) interface. The ACCPFDD-CUFFT implementation on a single TESLA K80 GPU offers a 27.6X speedup relative to the serial version and 5X speedup relative to the 22-multicore intel Xeon CPU E5-2699v4 version of the code.
||Planned: Supplemental Proceedings volume