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map reduce

White Paper: Parallelising QuantLib using Map-Reduce for HFT and quant development purposes

White Paper: Parallelising QuantLib using Map-Reduce for HFT and quant development purposes Although Map Reduce technologies are normally associated with “big data” they can also be used to simply but effectively parallelise QuantLib so that it runs on grid or cloud infrastructures. Attached is a link to a short white paper which describes more the …

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Details how to Get 7 tb in 1 second with sawzali, mapreduce jjava

Quant cast.com talk about how the handle 6 pb of daily data http://www.quantcast.com/inside-quantcast/2011/11/turbo-mapreduce/ It seems to be like Hadoop but built on sazawali with a intermediary language of java. Metrics include 7 terabytes in 1 second NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don’t worry as I don’t …

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