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Discrete Dynamics in Nature and Society
Article . 2014 . Peer-reviewed
License: CC BY
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Discrete Dynamics in Nature and Society
Article
License: CC BY
Data sources: UnpayWall
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zbMATH Open
Article . 2014
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Solving the Caputo Fractional Reaction-Diffusion Equation on GPU

Solving the Caputo fractional reaction-diffusion equation on GPU
Authors: Jie Liu; Chunye Gong; Weimin Bao; Guojian Tang; Yuewen Jiang;

Solving the Caputo Fractional Reaction-Diffusion Equation on GPU

Abstract

We present a parallel GPU solution of the Caputo fractional reaction-diffusion equation in one spatial dimension with explicit finite difference approximation. The parallel solution, which is implemented with CUDA programming model, consists of three procedures: preprocessing, parallel solver, and postprocessing. The parallel solver involves the parallel tridiagonal matrix vector multiplication, vector-vector addition, and constant vector multiplication. The most time consuming loop of vector-vector addition and constant vector multiplication is optimized and impressive performance improvement is got. The experimental results show that the GPU solution compares well with the exact solution. The optimized GPU solution on NVIDIA Quadro FX 5800 is 2.26 times faster than the optimized parallel CPU solution on multicore Intel Xeon E5540 CPU.

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Keywords

Finite difference methods for initial value and initial-boundary value problems involving PDEs, QA1-939, Functional equations for functions with more general domains and/or ranges, Fractional partial differential equations, Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Top 10%
Average
gold