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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
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
CSIE
2009
IEEE
13 years 9 months ago
K-Means on Commodity GPUs with CUDA
K-means algorithm is one of the most famous unsupervised clustering algorithms. Many theoretical improvements for the performance of original algorithms have been put forward, whi...
Hong-tao Bai, Li-li He, Dan-tong Ouyang, Zhan-shan...
ITNG
2010
IEEE
13 years 3 months ago
Record Setting Software Implementation of DES Using CUDA
—The increase in computational power of off-the-shelf hardware offers more and more advantageous tradeoffs among efficiency, cost and availability, thus enhancing the feasibil...
Giovanni Agosta, Alessandro Barenghi, Fabrizio De ...