MapReduce

Results: 1048



#Item
861Distributed computing architecture / MapReduce / Cloud computing / Cloud infrastructure / Data Intensive Computing / Apache Hadoop / Parallel ATA / Computing / Concurrent computing / Parallel computing

Applying Idealized Lower-Bound Runtime Models to Understand Inefficiencies in Data-Intensive Computing Elie Krevat∗ , Tomer Shiran∗ , Eric Anderson† , Joseph Tucek† , Jay J. Wylie† , Gregory R. Ganger∗ ∗ Ca

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Source URL: www.pdl.cmu.edu

Language: English - Date: 2012-02-07 18:33:12
862Machine learning / Parallel computing / Cloud computing / Distributed computing architecture / MapReduce / Cybernetics / GraphLab / Apache Hadoop / Algorithm / Statistics / Computing / Concurrent computing

WWW 2012 Invited Tutorial Overview New Templates for Scalable Data Analysis Amr Ahmed Alexander J. Smola

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Source URL: www.cs.cmu.edu

Language: English - Date: 2012-04-18 02:15:38
863Fault-tolerant computer systems / Cloud computing / Cloud infrastructure / B-tree / Apache Hadoop / Data Intensive Computing / Google File System / MapReduce / Replication / Computing / Concurrent computing / Parallel computing

Robust and Flexible Power-Proportional Storage Hrishikesh Amur† , James Cipar⋆ , Varun Gupta⋆ , Gregory R. Ganger⋆ , Michael A. Kozuch‡ , Karsten Schwan† ⋆ Carnegie Mellon University, † Georgia Institute

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Source URL: www.pdl.cmu.edu

Language: English - Date: 2010-03-23 11:58:05
864Fault-tolerant computer systems / Cloud computing / Cloud infrastructure / Data Intensive Computing / MapReduce / Apache Hadoop / External sorting / Dataflow / Computer cluster / Computing / Concurrent computing / Parallel computing

Applying performance models to understand data-intensive computing efficiency Elie Krevat∗ , Tomer Shiran∗ , Eric Anderson† , Joseph Tucek† , Jay J. Wylie† , Gregory R. Ganger∗ ∗ Carnegie Mellon University

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Source URL: www.pdl.cmu.edu

Language: English - Date: 2010-10-14 00:07:50
865Parallel computing / Cloud computing / Cloud infrastructure / Robust statistics / Data analysis / Apache Hadoop / Outlier / Computer cluster / MapReduce / Computing / Concurrent computing / Statistics

Reining in the Outliers in Map-Reduce Clusters using Mantri Ganesh Ananthanarayanan†⋄ Srikanth Kandula† Albert Greenberg† Ion Stoica⋄ Yi Lu† Bikas Saha‡ Edward Harris‡

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Source URL: research.microsoft.com

Language: English - Date: 2010-10-11 14:47:33
866Text Retrieval Conference / Relevance feedback / MapReduce / Relevance / Google Search / Query expansion / Apache Hadoop / Precision and recall / Information science / Information retrieval / Science

MapReduce for Experimental Search Djoerd Hiemstra and Claudia Hauff University of Twente, The Netherlands {d.hiemstra, c.hauff}@utwente.nl Abstract This draft report presents preliminary results for the TREC 2010 adhoc w

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Source URL: trec.nist.gov

Language: English - Date: 2011-02-23 10:42:22
867Fault-tolerant computer systems / Cloud infrastructure / Data Intensive Computing / MapReduce / Apache Hadoop / External sorting / Dataflow / Computer cluster / Replication / Computing / Concurrent computing / Parallel computing

Applying Simple Performance Models to Understand Inefficiencies in Data-Intensive Computing Elie Krevat∗ , Tomer Shiran∗ , Eric Anderson† , Joseph Tucek† , Jay J. Wylie† , Gregory R. Ganger∗ ∗ Carnegie Mell

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Source URL: www.pdl.cmu.edu

Language: English - Date: 2012-02-08 14:14:06
868Cloud computing / Hadoop / Apache Hadoop / Cloudera / MapReduce / Distributed File System / MapR / File system / Environment variable / Computing / Software / Cloud infrastructure

Package ‘hive’ July 2, 2014 Version[removed]Date[removed]Title Hadoop InteractiVE Description Hadoop InteractiVE, is an R extension facilitating distributed

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Source URL: cran.r-project.org

Language: English - Date: 2014-07-02 12:08:09
869Cloud infrastructure / Software / Hadoop / Distributed computing architecture / MapReduce / Parallel computing / Apache Hadoop / MapR / Cascading / Computing / Concurrent computing / Cloud computing

MapReduce Tutorial Table of contents 1 Purpose............................................................................................................................... 2 2 Prerequisites.............................

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Source URL: hadoop.apache.org

Language: English - Date: 2013-08-04 04:13:21
870Graphics hardware / Dinesh Manocha / MapReduce / Ming C. Lin / GPGPU / ACM SIGGRAPH / Rendering / Computer science / Graphics processing unit / Computing / Computer graphics / Parallel computing

Naga K. Govindaraju Principal Engineer Windows Azure Microsoft Corporation CONTACT INFORMATION: One Microsoft Way,

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Source URL: www.cs.unc.edu

Language: English - Date: 2011-07-26 23:47:25
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