K-Means on GPU: A Review

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Provided by: International Journal Of Engineering And Computer Science
Topic: Hardware
Format: PDF
Graphics Processors Units (GPUs) have developed very rapidly in recent years. K-means is the most popular clustering algorithm in data mining. The size of various data sets has increased tremendously day by day. The general - purpose applications are implemented on GPU using Compute Unified Device Architecture (CUDA). Cost effectiveness of the GPU and several features of CUDA like thread divergence and coalescing memory access. Shared memory architecture is much more efficient than distributed memory architecture.
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