High Performance Data Mining Using R on Heterogeneous Platforms

The exponential increase in the generation and collection of data has led users in a new era of data analysis and information extraction. Conventional systems based on general-purpose processors are unable to keep pace with the heavy computational requirements of data mining techniques. High performance coprocessors like GPUs and FPGAs have the potential to handle large computational workloads. In this paper, the authors present a scalable framework aimed at providing a platform for developing and using high performance data mining applications on heterogeneous platforms. The framework incorporates a software infrastructure and a library of high performance kernels.

Provided by: Northwestern University Topic: Big Data Date Added: Jun 2011 Format: PDF

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