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    Abstract
2013 (Vol. 5, Issue: 22)
Article Information:

Accelerating 3D Visualization in Reservoir Modeling System with Programmable Hardware

Lin Liu, Yumei Ning and Desheng Li
Corresponding Author:  Desheng Li 

Key words:  Graphics Processing Unit (GPU), massive data, reservoir modeling, 3D visualization, , ,
Vol. 5 , (22): 5194-5200
Submitted Accepted Published
July 27, 2012 September 12, 2012 May 25, 2013
Abstract:

This study presents a new method on 3D visualization in reservoir modeling system by using the computation power of modern programmable Graphics hardware (GPU). The proposed scheme is devised to achieve parallel processing of massive reservoir logging data. By taking advantage of the GPU's parallel processing capability, moreover, the performance of our scheme is discussed in comparison with that of the implementation entirely running on CPU. Experimental results clearly show that the proposed parallel processing can remarkably accelerate the data clustering task. Especially, although data-transferring from GPU to CPU is generally costly, acceleration by GPU is significant to save the total execution time of data-clustering and also significantly alleviates the computing load on CPU.
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  Cite this Reference:
Lin Liu, Yumei Ning and Desheng Li, 2013. Accelerating 3D Visualization in Reservoir Modeling System with Programmable Hardware.  Research Journal of Applied Sciences, Engineering and Technology, 5(22): 5194-5200.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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