On-Chip Hardware Support for Similarity Measures

Abstract

In Web mining applications, an enormous amount of data needs to be processed quickly and efficiently. Thus, hardware support is crucial to enhance the performance of these operations. We are investigating on-chip hardware support for web mining operations. In this work, we introduce chip level hardware support for similarity measure computation. We have implemented both the software and hardware versions of various similarity measures using a hierarchical platform-based design approach to facilitate component reuse at different levels of abstraction. Software modules are executed on a reconfigurable soft processor core on the same field programmable gate array (FPGA) as the hardware implementations for performance comparison purpose. Our experimental results show that the performance of web mining operations could be significantly enhanced by using on-chip hardware.