Three orders of magnitude improved efficiency with high-performance spectral crystal plasticity on GPU platforms
Corresponding Author
Bogdan Mihaila
Materials Science and Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
Correspondence to: Bogdan Mihaila, Materials Science and Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
E-mail: [email protected]
Search for more papers by this authorMarko Knezevic
Materials Science and Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
Search for more papers by this authorAndres Cardenas
Materials Science and Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
Physics Department, New York University, New York, New York 10003, USA
Search for more papers by this authorCorresponding Author
Bogdan Mihaila
Materials Science and Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
Correspondence to: Bogdan Mihaila, Materials Science and Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
E-mail: [email protected]
Search for more papers by this authorMarko Knezevic
Materials Science and Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
Search for more papers by this authorAndres Cardenas
Materials Science and Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
Physics Department, New York University, New York, New York 10003, USA
Search for more papers by this authorSUMMARY
We study efficient numerical implementations of crystal plasticity in the spectral representation, with emphasis on high-performance computational aspects of the simulation. For illustrative purposes, we apply this approach to a Taylor homogenization model of fcc poly-crystalline materials and show that the spectral representation of crystal plasticity is ideal for parallel implementations aimed at next-generation large-scale microstructure-sensitive simulations of material deformation. We find that multi-thread parallelizations of the algorithm provide two orders of magnitude acceleration of the calculation, whereas graphics processing unit-based computing solutions allow for three orders of magnitude speedup factors over the conventional model. Copyright © 2014 John Wiley & Sons, Ltd.
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