NDLI: 3D finite difference computation on GPUs using CUDA

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Content Provider	ACM Digital Library
Author	Micikevicius, Paulius
Abstract	In this paper we describe a GPU parallelization of the 3D finite difference computation using CUDA. Data access redundancy is used as the metric to determine the optimal implementation for both the stencil-only computation, as well as the discretization of the wave equation, which is currently of great interest in seismic computing. For the larger stencils, the described approach achieves the throughput of between 2,400 to over 3,000 million of output points per second on a single Tesla 10-series GPU. This is roughly an order of magnitude higher than a 4-core Harpertown CPU running a similar code from seismic industry. Multi-GPU parallelization is also described, achieving linear scaling with GPUs by overlapping inter-GPU communication with computation.
Starting Page	79
Ending Page	84
Page Count	6
File Format	PDF
ISBN	9781605585178
DOI	10.1145/1513895.1513905
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-03-08
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Finite difference Gpu Parallel algorithms Cuda
Content Type	Text
Resource Type	Article

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3D finite difference computation on GPUs using CUDA