In Bing, it's used to score results for queries: "One of these FPGA nodes did the Bing search scoring for a 48-node server pod, and was linked to the nodes by f

In Bing, it's used to score results for queries: "One of these FPGA nodes did the Bing search scoring for a 48-node server pod, and was linked to the nodes by four 10 Gb/sec Ethernet ports." http://www.enterprisetech.com/2014/09/03/microsoft-using-fpgas-speed-bing-search/ http://www.enterprisetech.com/2014/09/03/microsoft-using-fpg... Here's a paper about it: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/Catapult_ISCA_2014.pdf https://www.microsoft.com/en-us/research/wp-content/uploads/... 4.4, Feature Extraction: "The first stage of the scoring acceleration pipeline, Feature Extraction (FE), calculates numeric scores for a variety of “features” based on the query and document combination. There are potentially thousands of unique features calculated for each document, as each feature calculation produces a result for every stream in the request—furthermore, some features produce a result per query term as well. Our FPGA accelerator offers a significant advantage over software because each of the feature extraction engines can run in parallel, working on the same input stream. This is effectively a form of Multiple Instruction Single Data (MISD) computation."