Accelerating Business Analytics Applications

Speaker:  Valentina Salapura – NY, United States
Topic(s):  Applied Computing

Abstract

The IBM Watson system has demonstrated the power of applying analytics to large bodies of unstructured knowledge.  In a business environment, business text analytics applications have seen rapid growth, driven by the mining of data for a broad range of decision making processes. We analyze common unstructured text processing middleware, such as the LanguageWare component used by Watson.  Regular expression processing is an important component of these applications, consuming as much as 50% of their total execution time. While prior work on accelerating regular expression processing has focused on Network Intrusion Detection Systems, business analytics applications impose different requirements on regular expression processing efficiency.


We study accelerators for regular expression processing, which includes memory bus-, I/O bus-, and network attached accelerators with a focus on business analytics applications. Based on our study, we advocate the use of vector-style processing for regular expressions in business analytics applications, leveraging the SIMD hardware available in many modern processors.

About this Lecture

Number of Slides:  50
Duration:  60 minutes
Languages Available:  English
Last Updated: 

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