@Article{IJNAMB-4-394,
author = {M. PANCHATCHARAM⋆,⋌, S. SUNDAR⋆, V. VETRIVEL⋆, A. KLAR⋌, AND S. TIWARI⋌},
title = {GPU Computing for Meshfree Particle Method},
journal = {International Journal of Numerical Analysis Modeling Series B},
year = {2013},
volume = {4},
number = {4},
pages = {394--412},
abstract = {Graphics Processing Units (GPUs), originally developed for computer games, now provide computational power for scientific applications. A study on the comparison of computational
speed-up and efficiency of a GPU with a CPU for the Finite Pointset Method (FPM),
which is a numerical tool in Computational Fluid Dynamics (CFD) is presented. As FPM is
based on the point cloud, it is so expensive when the number of particles are in millions. We
have demonstrated the application of the FPM using a single-GPU (Nvidia Tesla M2050) and
Intel CPU (Dual Xeon). Importance of the GPU is realized by the FPM since GPU yields a
computational speed-up of 70&#215 for the Poisson equation with various boundary conditions.},
issn = {},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/ijnamb/265.html}
}