A Critical Performance Study of Memory Mapping on MultiCore Processors: An Experiment with K-Means Algorithm with Large Data Mining Data Sets

Increased availability of Multi-Core processors is forcing one to re-design algorithms and applications so as to exploit the available computational power from multiple cores. It is not uncommon to employ memory mapping of files in applications involving huge I/O bandwidth to improve the response/service times. This paper mainly focuses on performance of memory mapped files on Multi-Core processors. Experiments are carried out with k-means algorithm, a popular Data Mining (DM) clustering algorithm, to explore the potential of Multi-Core hardware under OpenMP API and POSIX threads. Observations are made both with static and dynamic threads of OpenMP. Experiments are also conducted with both simulated and real data sets.

Provided by: International Journal of Computer Applications Topic: Big Data Date Added: Nov 2010 Format: PDF

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