Accelerating Data Mining via Reconfigurable Computing

• Abstract: Data mining algorithms have become vital to researchers in science, engineering, medicine, business, search and security domains. In recent years, there has been a tremendous increase in the size of the data being collected and analyzed. Data mining algorithms have been unable to scale up to these vast amounts of data, leading to significant performance degradation. Also, the enhancements in processor and system designs do not necessarily aid data mining workloads. Therefore, there is a need to specifically address the limitations of accelerating data mining workloads.
• Resources:
  1. An Architecture for Efficient Hardware Data Mining using Reconfigurable Computing Systems

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This page is maintained by Shawki Areibi, sareibi@uoguelph.ca
Last modified Feb. 2013