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Concurrency / Thread / Barrier / Algorithm / Lock / Distributed computing / Bulk synchronous parallel / Central processing unit / Iteration / Computing / Parallel computing / Computer programming


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
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Document Date: 2013-05-20 14:59:49


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Cascais / Supercomputing / New York / Washington / DC / Asuncion / /

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Jordan / United States / Portugal / /

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Eric Xing Carnegie Mellon University / /

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update operator / convergent algorithms / distributed machine learning applications / staleness tolerant algorithms / iterative convergent algorithms / potential solution / Internet services / potential solutions / data mining / software components / parameter server / improved solution / staleness-tolerant algorithm / sparse regression algorithm / document topic modeling algorithm / problem solution / collaborative filtering algorithms / important applications / system solvers Web search/page rank Mapping / natural language processing / cloud computing / scientific computing / learning algorithms / /

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VMs / /

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USENIX Association / Carnegie Mellon University / IEEE Computer Society / /

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James Cipar / Kimberly Keeton / S. Pakin / Jin Kyu Kim / Gregory R. Ganger / D. J. Kerbyson / F. Petrini / Garth Gibson / /

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model for updating shared data / model for parallel computation / application programmer / /

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DC / C++ / /

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New York / California / /

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Machine Learning / /

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genomics / staleness-tolerant algorithms / RAM / bioinformatics / unix / API / collaborative filtering algorithms / LDA algorithm / Machine learning / staleness-tolerant algorithm / operating system / operating systems / iterative convergent algorithms / 8 / 192 processors / natural language processing / staleness tolerant algorithms / synchronous parallel These algorithms / example algorithms / data mining / sparse regression algorithm / document topic modeling algorithm / /

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