parSOM: Using Parallelism to Overcome Memory Latency in Self-Organizing Neural Networks
نویسندگان
چکیده
منابع مشابه
Optimizing the parSOM Neural Network Implementation for Data Mining with Distributed Memory Systems and Cluster Computing
The self-organizing map is a prominent unsupervised neural network model which lends itself to the analysis of high-dimensional input data and data mining applications. However, the high execution times required to train the map put a limit to its application in many high-performance data analysis application domains. In this paper we discuss the parSOM implementation, a software-based parallel...
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