NFV Compute Acceleration Evaluation and APIs

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Last updated 2015-12-31 (latest revision 2015-06-29)
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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.


Bose Perumal (
Wenjing Chu (
Ramki Krishnan (

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