sponsored byIEEEACMThe International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 16-21, 2014

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A Roofline Performance Analysis of an Algebraic Multigrid Solver

SESSION: Poster Reception


TIME: 5:15PM - 7:00PM

AUTHOR(S):Alex Druinsky, Brian Austin, Xiaoye S. Li, Osni Marques, Eric Roman, Samuel Williams

ROOM:New Orleans Theater Lobby


We present a performance analysis of a novel element-based algebraic multigrid
(AMGe) method combined with a robust coarse-grid solution technique based on
HSS low-rank sparse factorization. Our test datasets come from the SPE
Comparative Solution Project for oil reservoir simulations. The current
performance study focuses on one multicore node and on bound analysis using the
roofline technique. We found that keeping a small value of spectral tolerance
is most critical to achieve the best AMG solver performance. Our roofline bound
estimate is within 23% accuracy compared to the actual runtime on a Cray XC30
12-cores processor.

Chair/Author Details:

Alex Druinsky - Lawrence Berkeley National Laboratory

Brian Austin - Lawrence Berkeley National Laboratory

Xiaoye S. Li - Lawrence Berkeley National Laboratory

Osni Marques - Lawrence Berkeley National Laboratory

Eric Roman - Lawrence Berkeley National Laboratory

Samuel Williams - Lawrence Berkeley National Laboratory

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