Accelerating business analytics applications

  title={Accelerating business analytics applications},
  author={Valentina Salapura and Tejas Karkhanis and Priya Nagpurkar and Jos{\'e} E. Moreira},
  journal={IEEE International Symposium on High-Performance Comp Architecture},
Business text analytics applications have seen rapid growth, driven by the mining of data for various decision making processes. 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 present an… CONTINUE READING
13 Citations
39 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 13 extracted citations


Publications referenced by this paper.
Showing 1-10 of 39 references

A first look at the Larrabee new instructions (LRBni)

  • M. Abrash
  • The Dr. Dobb’s Journal,
  • 2009
1 Excerpt

Similar Papers

Loading similar papers…