Efficient Partitioning Based Hierarchical Agglomerative Clustering Using Graphics Accelerators With Cuda
نویسندگان
چکیده
منابع مشابه
An Approach for Fast Hierarchical Agglomerative Clustering Using Graphics Processors with CUDA
Graphics Processing Units in today’s desktops can well be thought of as a high performance parallel processor. Each single processor within the GPU is able to execute different tasks independently but concurrently. Such computational capabilities of the GPU are being exploited in the domain of Data mining. Two types of Hierarchical clustering algorithms are realized on GPU using CUDA. Speed gai...
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Graphics Processing Units (GPU) in today’s desktops can well be thought of as a high performance parallel processor. Traditionally, parallel computing is the usage of multiple computing resources to execute computational problems simultaneously. Such computations are possible using multi-core CPUs or computers with multiple CPUs or by using a network of computers in parallel. Today’s GPUs are c...
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Graphics processing units (GPUs) are powerful computational devices tailored towards the needs of the 3-D gaming industry for high-performance, real-time graphics engines. Nvidia Corporation provides a programming language called CUDA for general-purpose GPU programming. Hierarchical clustering is a common method used to determine clusters of similar data points in multidimensional spaces; if t...
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ژورنال
عنوان ژورنال: International Journal of Artificial Intelligence & Applications
سال: 2013
ISSN: 0976-2191,0975-900X
DOI: 10.5121/ijaia.2013.4202