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» Tensor Voting Accelerated by Graphics Processing Units (GPU)
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IV
2006
IEEE
210views Visualization» more  IV 2006»
14 years 1 months ago
FFT and Convolution Performance in Image Filtering on GPU
Many contemporary visualization tools comprise some image filtering approach. Since image filtering approaches are very computationally demanding, the acceleration using graphic...
Ondirej Fialka, Martin Cadík
PLDI
2012
ACM
11 years 9 months ago
Adaptive input-aware compilation for graphics engines
While graphics processing units (GPUs) provide low-cost and efficient platforms for accelerating high performance computations, the tedious process of performance tuning required...
Mehrzad Samadi, Amir Hormati, Mojtaba Mehrara, Jan...
WWW
2008
ACM
14 years 8 months ago
Using graphics processors for high-performance IR query processing
Web search engines are facing formidable performance challenges due to data sizes and query loads. The major engines have to process tens of thousands of queries per second over t...
Shuai Ding, Jinru He, Hao Yan, Torsten Suel
ASPLOS
2009
ACM
13 years 11 months ago
Accelerating phase unwrapping and affine transformations for optical quadrature microscopy using CUDA
Optical Quadrature Microscopy (OQM) is a process which uses phase data to capture information about the sample being studied. OQM is part of an imaging framework developed by the ...
Perhaad Mistry, Sherman Braganza, David R. Kaeli, ...
BIBE
2008
IEEE
272views Bioinformatics» more  BIBE 2008»
14 years 1 months ago
Design and implementation of the Smith-Waterman algorithm on the CUDA-compatible GPU
— This paper describes a design and implementation of the Smith-Waterman algorithm accelerated on the graphics processing unit (GPU). Our method is implemented using compute uni...
Yuma Munekawa, Fumihiko Ino, Kenichi Hagihara