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Volume 4, Issue 4
GPU Computing for Meshfree Particle Method

M. PANCHATCHARAM⋆,⋌, S. SUNDAR⋆, V. VETRIVEL⋆, A. KLAR⋌, AND S. TIWARI⋌

Int. J. Numer. Anal. Mod. B, 4 (2013), pp. 394-412

Published online: 2013-04

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  • 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× for the Poisson equation with various boundary conditions.
  • Keywords

Finite Pointset Method(FPM) CUDA GPU Bi-CGSTAB

  • AMS Subject Headings

65Y05 65Y20 35Q30 76D05

  • Copyright

COPYRIGHT: © Global Science Press

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@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× for the Poisson equation with various boundary conditions.}, issn = {}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/ijnamb/265.html} }
TY - JOUR T1 - GPU Computing for Meshfree Particle Method AU - M. PANCHATCHARAM⋆,⋌, S. SUNDAR⋆, V. VETRIVEL⋆, A. KLAR⋌, AND S. TIWARI⋌ JO - International Journal of Numerical Analysis Modeling Series B VL - 4 SP - 394 EP - 412 PY - 2013 DA - 2013/04 SN - 4 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/ijnamb/265.html KW - Finite Pointset Method(FPM) KW - CUDA KW - GPU KW - Bi-CGSTAB AB - 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× for the Poisson equation with various boundary conditions.
M. PANCHATCHARAM⋆,⋌, S. SUNDAR⋆, V. VETRIVEL⋆, A. KLAR⋌, AND S. TIWARI⋌. (2013). GPU Computing for Meshfree Particle Method. International Journal of Numerical Analysis Modeling Series B. 4 (4). 394-412. doi:
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