Realistic Skin Rendering on GPU

Martinova, Elena

doi:10.1007/978-3-642-03452-7_1

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2011

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“…Nowadays parallel processing of petroleum geophysical industry increasingly attracted wide attention, how to process quickly and efficiently the large-scale seismic data that has become a major issue that waiting for be solved. With rapid development of the GPU [7][8] computing, GPU-based parallel processing technology play an important role in the processing of seismic data. Parallel processing seismic data base on GPU not only greatly improve the ratio of performance to price, but also process massive seismic data.…”

Section: ⅰIntroductionmentioning

confidence: 99%

GPU-Based HHT Algorithm for Large Seismic Data

Xie

et al. 2011

2011 International Conference on Intelligence Science and Information Engineering

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In order to distinguish and validate the characteristic of original seismic profile or interface of lithology, an improved Hilbert-Huang algorithm is presented in this letter; it decomposes the signal into a finite set of empirical mode component, and then Hilbert spectrum analyses for decomposed component. We use GPU for the parallel processing of massive seismic data, it greatly improved the processing speed. In this letter, we test our method by four sets of seismic data, the experiment results show GPUbased method is about 4 times faster than CPU-based method.

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Section: ⅰIntroductionmentioning

confidence: 99%

GPU-Based HHT Algorithm for Large Seismic Data

Xie

et al. 2011

2011 International Conference on Intelligence Science and Information Engineering

View full text Add to dashboard Cite

show abstract

Realistic Skin Rendering on GPU

Cited by 1 publication

References 13 publications

GPU-Based HHT Algorithm for Large Seismic Data

GPU-Based HHT Algorithm for Large Seismic Data

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