| Document Date: 2013-06-24 12:52:44
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City Washington / DC / Asuncion / / Company Yahoo! LDA / NetApp / HP / Intel / Microsoft / New york times / / Country Jordan / United States / / Facility Eric Xing Carnegie Mellon University / / IndustryTerm update operator / sparse regression algorithm / convergent algorithms / distributed machine learning applications / problem solution / distributed replicated services / staleness tolerant algorithms / collaborative filtering algorithms / iterative convergent algorithms / important applications / potential solution / large-scale networked systems / system solvers Web search/page rank Mapping / potential solutions / data mining / software components / parameter server / stateof-the-art document topic modeling algorithm / improved solution / staleness-tolerant algorithms / cloud computing / learning algorithms / / OperatingSystem VMs / / Organization Center for Cloud Computing / Carnegie Mellon University / IEEE Computer Society / / Person Gregory R. Ganger / James Cipar / Kimberly Keeton / D. J. Kerbyson / F. Petrini / S. Pakin / Garth Gibson / Jin Kyu Kim / / Position continuous consistency model for replicated services / model for parallel computation / model for updating shared data / application programmer / / Product a prototype system called LazyTables / LazyTables / / ProgrammingLanguage C++ / / ProvinceOrState California / / PublishedMedium Machine Learning / / Technology staleness-tolerant algorithms / 8 / 192 processors / stateof-the-art document topic modeling algorithm / RAM / bioinformatics / staleness tolerant algorithms / synchronous parallel These algorithms / unix / API / example algorithms / collaborative filtering algorithms / data mining / sparse regression algorithm / LDA algorithm / Machine learning / operating system / operating systems / iterative convergent algorithms / / URL http /
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Solving the straggler problem with bounded staleness James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Gregory R. Ganger, Garth Gibson, Kimberly Keeton*, Eric Xing Carnegie Mellon University, *HP Labs Algorithm