@techreport{perumal-nfvrg-nfv-compute-acceleration-00,
    number =    {draft-perumal-nfvrg-nfv-compute-acceleration-00},
    type =      {Internet-Draft},
    institution =   {Internet Engineering Task Force},
    publisher = {Internet Engineering Task Force},
    note =      {Work in Progress},
    url =       {https://datatracker.ietf.org/doc/draft-perumal-nfvrg-nfv-compute-acceleration/00/},
    author =    {Bose Perumal and Wenjing Chu and Ramki Krishnan},
    title =     {{NFV Compute Acceleration Evaluation and APIs}},
    pagetotal = 19,
    year =      2015,
    month =     jun,
    day =       29,
    abstract =  {Network functions are being virtualized and moved to industry standard servers. Steady growth of traffic volume requires more compute power to process the network functions. Network packet based architecture provides a lot of scope for parallel processing. Generic parallel processing can be done in common multicore platforms like GPUs, coprocessors like Intel Xeon Phi{[}6{]}{[}7{]} and Intel{[}7{]}/AMD{[}10{]} multicore CPUs. In this draft to check the feasibility and to exploit this parallel processing capability, multi string matching is taken as the sample network function for URL filtering. Aho-Corasick algorithm has been made use for multi pattern matching. Implementation utilizes OpenCL {[}3{]} to support many common platforms{[}7{]}{[}10{]}{[}11{]}. A list of optimizations is done, the application is tested on Nvidia Tesla K10 GPUs. A common API for NFV Compute Acceleration has been proposed.},
}