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Data-intensive computing
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61	CASC Autumn Meeting 2015 Data Activities Panel 14 October 2015 ACI Data Program : an Integrative, Evolving Portfolio with a View towards the Horizon Add to Reading List Source URL: casc.org Language: English - Date: 2015-10-20 14:59:20 National Science Foundation Computing E-Science Information science Information retrieval Data Infrastructure Building Blocks Datanet Cyberinfrastructure Big data Data-intensive computing Texas Advanced Computing Center
62	TECHNISCHE UNIVERSITÄT MÜNCHEN FAKULTÄT FÜR INFORMATIK Software & Systems Engineering Prof. Dr. Dr. h.c. Manfred Broy SPES 2020 Deliverable 1.3.B-7 Add to Reading List Source URL: spes2020.informatik.tu-muenchen.de Language: English - Date: 2012-03-07 09:24:09 Concurrent computing Computing Parallel computing Data parallelism Multi-core processor Embedded system Concurrency Software Parallel random-access machine Cell Data-intensive computing Algorithmic skeleton
63	Load Balancing for MapReduce-based Entity Resolution Lars Kolb, Andreas Thor, Erhard Rahm Database Group, University of Leipzig Leipzig, Germany {kolb,thor,rahm}@informatik.uni-leipzig.de Add to Reading List Source URL: dbs.uni-leipzig.de Language: English - Date: 2011-11-29 09:13:03 Computing Parallel computing MapReduce Data-intensive computing Data Record linkage Partition Replication Hash function
64	The Benefits of Service Choreography for Data-Intensive Computing Adam Barker Dept. of Engineering Science, University of Oxford, UK. Add to Reading List Source URL: www.adambarker.org Language: English - Date: 2009-09-16 16:11:44 Workflow technology Computing Business software Business Business Process Execution Language Service choreography Orchestration Workflow Service-oriented architecture Business process modeling Bioinformatics Business process management
65	Electronic Preprint for Journal of Information Processing Vol.20 No.1 Invited Paper E3: an Elastic Execution Engine for Scalable Data Processing Add to Reading List Source URL: www.yzbigdata.com Language: English - Date: 2016-08-08 22:31:48 Computing Concurrent computing Parallel computing Apache Software Foundation Cloud infrastructure Hadoop Distributed computing architecture Data-intensive computing Apache Hadoop MapReduce Big data Pig
66	When to Reach for the Cloud: Using Parallel Hardware for Link Discovery Axel-Cyrille Ngonga Ngomo, Lars Kolb, Norman Heino, Michael Hartung, S¨oren Auer, and Erhard Rahm Department of Computer Science, University of Lei Add to Reading List Source URL: dbs.uni-leipzig.de Language: English - Date: 2013-03-21 08:48:54 Concurrent computing Computing Parallel computing GPGPU MapReduce Data-intensive computing Graphics processing unit OpenCL Hypercube Thread Compute kernel Apache Hadoop
67	Research Agenda for High Productivity Language Systems 1 Add to Reading List Source URL: wgropp.cs.illinois.edu Language: English - Date: 2005-04-19 11:40:24 Software Computing Parallel computing Programming paradigms Cross-platform software Concurrent programming languages Object-oriented programming languages Domain-specific language Data-intensive computing Programming language Scripting language Abstraction
68	An Evaluation of Cassandra for Hadoop Elif Dede, Bedri Sendir, Pinar Kuzlu, Jessica Hartog, Madhusudhan Govindaraju Grid and Cloud Computing Research Laboratory SUNY Binghamton, New York, USA Email:{edede1,bsendir1,pkuzl Add to Reading List Source URL: www.cs.binghamton.edu Language: English - Date: 2014-08-22 23:43:07 Computing Software Data management Hadoop Cloud infrastructure Apache Software Foundation Structured storage Parallel computing Apache Hadoop Data-intensive computing Apache Cassandra MapReduce
69	Distrib Parallel Databases: 185–216 DOIs10619y ASTERIX: towards a scalable, semistructured data platform for evolving-world models Alexander Behm · Vinayak R. Borkar · Add to Reading List Source URL: asterixdb.ics.uci.edu Language: English - Date: 2013-06-06 15:43:58 Computing Concurrent computing Parallel computing Apache Software Foundation Data management Hadoop Data-intensive computing Apache Hadoop MapReduce Database Data warehouse Data model
70	Massive Data Streams Research: Where to Go S. Muthukrishnan Rutgers Univ March 7, 2010 Summary. Computing power has been growing steadily, just as communication rate and memory size. Simultaneously our ability to create Add to Reading List Source URL: thmatters.files.wordpress.com Language: English - Date: 2015-09-29 10:44:09 Parallel computing Data management Distributed computing MapReduce Streaming algorithm Algorithm Data analysis Data stream management system Data-intensive computing Big data