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INTENSIVE
2009
IEEE
13 years 11 months ago
Accelerating K-Means on the Graphics Processor via CUDA
In this paper an optimized k-means implementation on the graphics processing unit (GPU) is presented. NVIDIA’s Compute Unified Device Architecture (CUDA), available from the G8...
Mario Zechner, Michael Granitzer
AIPR
2008
IEEE
13 years 6 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...
DICTA
2007
13 years 6 months ago
Speeding up Mutual Information Computation Using NVIDIA CUDA Hardware
We present an efficient method for mutual information (MI) computation between images (2D or 3D) for NVIDIA’s ‘compute unified device architecture’ (CUDA) compatible devic...
Ramtin Shams, Nick Barnes
LCPC
2009
Springer
13 years 9 months ago
MIMD Interpretation on a GPU
Programming heterogeneous parallel computer systems is notoriously difficult, but MIMD models have proven to be portable across multi-core processors, clusters, and massively paral...
Henry G. Dietz, B. Dalton Young