DocumentCode
1919646
Title
Abstract: Matrix Decomposition Based Conjugate Gradient Solver for Poisson Equation
Author
Hang Liu ; Jung-Hee Seo ; Mittal, Riya ; Huang, He Helen
Author_Institution
George Washington Univ., Washington, DC, USA
fYear
2012
fDate
10-16 Nov. 2012
Firstpage
1499
Lastpage
1500
Abstract
Finding a fast solver for the Poisson equation is important for many scientific applications. In this work, we design and develop a matrix decomposition based Conjugate Gradient (CG) solver, which leverages Graphics Processing Unit (GPU) clusters to accelerate the calculation of the Poisson equation. Our experiments show that the new CG solver is highly scalable and achieves significant speedup over a CPU-based Multi-Grid (MG) solver.
Keywords
Poisson equation; conjugate gradient methods; graphics processing units; mathematics computing; matrix decomposition; CG solver; CPU-based multigrid solver; GPU clusters; Poisson equation; graphics processing unit clusters; matrix decomposition based conjugate gradient solver; Conjugate Gradient (CG) solver; Graphics Processing Unit (GPU); Poisson Equation;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
Conference_Location
Salt Lake City, UT
Print_ISBN
978-1-4673-6218-4
Type
conf
DOI
10.1109/SC.Companion.2012.286
Filename
6496069
Link To Document