SC12 Home > SC12 Schedule > SC12 Presentation - Matrix Decomposition Based Conjugate Gradient Solver for Poisson Equation

SCHEDULE: NOV 10-16, 2012

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ENTIRE WEEK SATURDAY SUNDAY MONDAY TUESDAY WEDNESDAY THURSDAY FRIDAY

Matrix Decomposition Based Conjugate Gradient Solver for Poisson Equation

SESSION: Research Poster Reception

EVENT TYPE: Posters and Electronic Posters

TIME: 5:15PM - 7:00PM

SESSION CHAIR: Torsten Hoefler

AUTHOR(S):Hang Liu, Howie Huang, Jung-Hee Seo, Rajat Mittal

ROOM:East Entrance

ABSTRACT:
Finding a fast solver for Poisson equation is important for many scientific applications. In this work, we develop a matrix decomposition based Conjugate Gradient (CG) solver, which leverages GPU clusters to accelerate the calculation of the Poisson equation. Our experiments show that the new CG solver is highly scalable and achieves significant speedups over a CPU based multi-grid solver.

Chair/Author Details:

Torsten Hoefler (Chair) - ETH Zurich

Hang Liu - George Washingtion University

Howie Huang - George Washington University

Jung-Hee Seo - Johns Hopkins University

Rajat Mittal - Johns Hopkins University

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