NDLI: GPU accelerated geometric multigrid method: Performance comparison on recent NVIDIA architectures

Content Provider	IEEE Xplore Digital Library
Author	Stroia, I. Itu, L. Nita, C. Lazar, L. Suciu, C.
Copyright Year	2015
Description	Author affiliation: Transilvania Univ. of Brasov, Braşov, Romania (Suciu, C.) \|\| Imaging & Comput. Vision, Siemens SRL, Braşov, Romania (Stroia, I.; Itu, L.; Nita, C.; Lazar, L.)
Abstract	During the past decade Graphics Processing Units (GPU) have been increasingly employed for speeding up compute intensive scientific applications. In this field, the geometric multigrid method (GMG) is one of the most efficient algorithms for solving large sparse linear systems of equations. Herein we analyze the performance of an optimized GPU based implementation of the GMG method on different state-of-the-art NVIDIA GPUs. The GTX Titan Black card, set-up with increased double precision performance leads to the smallest execution time. It is marginally faster than the more recently released GTX Titan X card which has considerably lower double precision performance. Moreover, an energy efficiency analysis reveals that the GTX 660M and the more powerful Titan cards require a similar amount of energy for running the GMG algorithm: the larger execution time is compensated by the lower power consumption.
Starting Page	175
Ending Page	179
File Size	286118
Page Count	5
File Format	PDF
e-ISBN	9781479984817
DOI	10.1109/ICSTCC.2015.7321289
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-14
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Sparse linear system of equations CUDA Speed-up Multigrid methods Graphics processing units Computer architecture Energy efficiency Mathematical model Kernel GPU Geometric multigrid
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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