| Document Date: 2011-11-11 14:41:37
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City Madison / / Company Ge / Google / Intel / / Currency USD / / Event FDA Phase / / Facility University of Wisconsin-Madison / / IndustryTerm by-product / complicated protocol / multicore processors / individual processors / incremental gradient algorithm / web-scale data sets / subgradient descent algorithm / purpose multicore processor / stochastic gradient descent algorithms / parallel processing setup / performant solution / machine learning applications / computing / parallel-processing framework / ordinary gradient descent algorithms / Web data / constant step size protocol / multicore systems / / Organization R´e and Stephen J. Wright Computer Sciences Department / University of Wisconsin / / Person Stephen J. Wright / Benjamin Recht / / Position collector / / Product D0 / / ProgrammingLanguage R / / ProvinceOrState Wisconsin / / Technology subgradient descent algorithm / 1/k protocols / 4 Algorithm / two processors / 1/k protocol / constant step size protocol / stochastic gradient descent algorithms / this asynchronous / incremental gradient algorithm / SGD algorithms / serial SGD protocol / ordinary gradient descent algorithms / machine learning / multicore processors / shared memory / RAID / parallel processing / incremental gradient algorithm / purpose multicore processor / /
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Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu, Benjamin Recht, Christopher R´e and Stephen J. Wright Computer Sciences Department, University of Wisconsin-Madison 1210 W Dayton St,