PSU Mark
Eberly College of Science Mathematics Department

Meeting Details

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Title:Numerical Study of Geometric Multigrid Methods on CPU-GPU Heterogenous Computers
Seminar:CCMA PDEs and Numerical Methods Seminar Series
Speaker:Chunsheng Feng, Xiangtan University
The geometric multigrid method (GMG) is one of the most efficient solution techniques for discrete algebraic systems arising in many types of partial differential equations. GMG utilizes a hierarchy of grids and discretizations and reduces error of different frequencies simultaneously. Graphics processing units (GPUs) have recently burst onto the scientific computing scene as a technology that has demonstrated substantial performance and energy efficiency improvements. However GPU is not particularly efficient to coarse level problems in GMG. In this work, we study the performance of GMG on CPU-GPU heterogenous computers. Furthermore, for comparison, we compare our method with an efficient implementation on CPUs as well as the Fast Fourier Transform in CuFFT.

Room Reservation Information

Room Number:MB315
Date:09 / 12 / 2014
Time:03:30pm - 05:00pm