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BMCBI
2010
116views more  BMCBI 2010»
13 years 5 months ago
permGPU: Using graphics processing units in RNA microarray association studies
Background: Many analyses of microarray association studies involve permutation, bootstrap resampling and crossvalidation, that are ideally formulated as embarrassingly parallel c...
Ivo D. Shterev, Sin-Ho Jung, Stephen L. George, Ko...
PDP
2009
IEEE
13 years 11 months ago
A Parallel Implementation of the 2D Wavelet Transform Using CUDA
There is a multicore platform that is currently concentrating an enormous attention due to its tremendous potential in terms of sustained performance: the NVIDIA Tesla boards. The...
Joaquín Franco, Gregorio Bernabé, Ju...
AIPR
2008
IEEE
13 years 7 months ago
Low-cost, high-speed computer vision using NVIDIA's CUDA architecture
In this paper, we introduce real time image processing techniques using modern programmable Graphic Processing Units (GPU). GPUs are SIMD (Single Instruction, Multiple Data) device...
Seung In Park, Sean P. Ponce, Jing Huang, Yong Cao...
SIGMOD
2008
ACM
140views Database» more  SIGMOD 2008»
14 years 5 months ago
Relational joins on graphics processors
We present a novel design and implementation of relational join algorithms for new-generation graphics processing units (GPUs). The most recent GPU features include support for wr...
Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga K. ...
ICMCS
2008
IEEE
159views Multimedia» more  ICMCS 2008»
13 years 11 months ago
Using graphics devices in reverse: GPU-based Image Processing and Computer Vision
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GPUs) are used to convert “numbers into pictures” (i.e. computer graphics). I...
James Fung, Steve Mann