An efficient GPU-based fractional-step domain decomposition scheme for the reaction–diffusion equation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
http://link.springer.com/content/pdf/10.1007/s40314-020-01357-7.pdf
Reference38 articles.
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2. Alfonsi G, Ciliberti SA, Mancini M, Primavera L (2014) GPGPU implementation of mixed spectral-finite difference computational code for the numerical integration of the three-dimensional time-dependent incompressible Navier-Stokes equations. Comput Fluids 102:237–249. https://doi.org/10.1016/j.compfluid.2014.07.005
3. Chang LW, Stratton JA, Kim HS, Hwu WMW (2012) A scalable, numerically stable, high-performance tri-diagonal solver using GPUs. Int Conf High Perform Comput Netw Storage Anal SC. https://doi.org/10.1109/SC.2012.12
4. Cheng J, Grossman M, McKercher T (2014) Professional CUDA C Programming. Wiley, Hoboken
5. Davidson A, Zhang Y, Owens JD (2011) An auto-tuned method for solving large tri-diagonal systems on the GPU. In: Proc- 25th IEEE Int Parallel Distrib Process Symp IPDPS 2011 956–965. https://doi.org/10.1109/IPDPS.2011.92
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