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Data-intensive computing
Results: 401

#	Item
31	Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael J. Franklin, Scott Shenker, I Add to Reading List Source URL: nil.csail.mit.edu Language: English - Date: 2015-01-05 06:37:34 Computing Hadoop Apache Software Foundation Parallel computing Apache Spark Cluster computing Java platform Apache Hadoop Data-intensive computing MapReduce Apache HBase PageRank
32	Hyracks: A Flexible and Extensible Foundation for Data-Intensive Computing Vinayak Borkar, Michael Carey, Raman Grover, Nicola Onose, Rares Vernica Computer Science Department, University of California, Irvine Irvine, CA Add to Reading List Source URL: asterixdb.ics.uci.edu Language: English - Date: 2013-06-06 15:43:58 Computing Concurrent computing Parallel computing Hadoop Apache Software Foundation Query languages Cloud infrastructure Apache Hadoop Data-intensive computing MapReduce Pig Hash join
33	Spark: Cluster Computing with Working Sets Matei Zaharia, Mosharaf Chowdhury, Michael J. Franklin, Scott Shenker, Ion Stoica University of California, Berkeley Abstract MapReduce/Dryad job, each job must reload the data Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2016-08-21 15:09:53 Computing Hadoop Apache Software Foundation Parallel computing Cluster computing Java platform Apache Spark MapReduce Data-intensive computing Apache Hadoop Apache Hive Scala
34	Pilot Abstractions for Compute, Data, and Network Add to Reading List Source URL: danielskatz.org Language: English - Date: 2016-02-12 03:28:59 Computing Concurrent computing Grid computing E-Science Cyberinfrastructure Data-intensive computing Simple API for Grid Applications Big data Nordic Data Grid Facility
35	Noname manuscript No. (will be inserted by the editor) Parallel Entity Resolution with Dedoop Preprint, accepted for publication in “Datenbank-Spektrum” Lars Kolb · Erhard Rahm Add to Reading List Source URL: dbs.uni-leipzig.de Language: English Computing Concurrent computing Parallel computing Data management Distributed computing architecture Apache Software Foundation Data-intensive computing MapReduce Apache Hadoop Record linkage Data Big data
36	Microsoft Word - zazen__main__41__group__12-09__ .doc Add to Reading List Source URL: www.deshawresearch.com Language: English - Date: 2010-09-27 16:06:44 Computing Concurrent computing Parallel computing Data-intensive computing Apache Hadoop MapReduce Clustered file system Computer cluster Cache Trie Distributed file system for cloud OpenSSI
37	Efficient Parallel Set-Similarity Joins Using MapReduce Add to Reading List Source URL: asterixdb.ics.uci.edu Language: English - Date: 2013-06-06 15:43:58 Parallel computing Computing Software engineering Computer programming Distributed computing architecture MapReduce Compiler construction Data-intensive computing Lexical analysis Hash function Data Function
38	U.S. Army Research Laboratory Technical Implementation Plan 2016 – 2020 U.S. ARMY RESEARCH LABORATORY MISSION: Discover, innovate, and transition science and technology Add to Reading List Source URL: www.defenseinnovationmarketplace.mil Language: English - Date: 2016-07-01 11:37:00 Concurrent computing Computing Parallel computing Distributed computing Data-intensive computing Big data Cloud computing Computer cluster Supercomputer
39	Benchmarking MapReduce Implementations for Application Usage Scenarios Zacharia Fadika 1 , Elif Dede 2 , Madhusudhan Govindaraju 3 , Lavanya Ramakrishnan‡ Grid and Cloud Computing Research Laboratory, Department of Com Add to Reading List Source URL: www.cs.binghamton.edu Language: English - Date: 2013-07-27 18:14:45 Computing Concurrent computing Parallel computing Apache Software Foundation Hadoop Cloud infrastructure Apache Hadoop Data-intensive computing MapReduce Computer cluster Pig Google File System
40	On Flexible Allocation of Index and Temporary Data in Parallel Database Systems Erhard Rahm Holger Märtens, Thomas Stöhr University of Leipzig, Germany Add to Reading List Source URL: hpts.ws Language: English - Date: 2012-04-19 12:03:21 Data management Computing Database management systems Information retrieval Partition Shared nothing architecture Database Search engine indexing Full table scan Database tuning Data-intensive computing

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