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Data-intensive computing
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131	Sorting 100 TB on Google Compute Engine Michael Conley Amin Vahdat George Porter Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2015-09-25 11:22:18 Cloud infrastructure Parallel computing Cloud computing Web services Distributed computing architecture MapReduce Solid-state drive Google Compute Engine Apache Hadoop Data-intensive computing Amazon Elastic Compute Cloud Hyper-V
132	Nephele: Efficient Parallel Data Processing in the Cloud Daniel Warneke Odej Kao Technische Universität Berlin Add to Reading List Source URL: stratosphere.eu Language: English - Date: 2016-05-27 12:05:58 Cloud infrastructure Parallel computing Apache Hadoop MapReduce Data-intensive computing Amazon Elastic Compute Cloud Job scheduler Scheduling Directed acyclic graph Cloud computing Eucalyptus Job
133	Massively Parallel Data Analysis with PACTs on Nephele Alexander Alexandrov Max Heimel Volker Markl* Dominic Battre* Add to Reading List Source URL: stratosphere.eu Language: English - Date: 2016-05-27 12:05:58 Parallel computing Distributed computing architecture Parallelization contract Data-intensive computing
134	HiMach A Parallel Framework for Analyzing Molecular Dynamics Trajectories HiMach Version 1.0/Document Version 0.1 June 2009 Add to Reading List Source URL: www.deshawresearch.com Language: English Parallel computing MapReduce Data-intensive computing Apache Hadoop Molecular dynamics Map Parallelization contract Aster Data Systems
135	Optimizing Parallel HPC Applications for Green Energy Sources Cong Wang, Michael Zink and David Irwin Department of Electrical and Computer Engineering University of Massachusetts Amherst {cwang, zink, irwin}@ecs.umass.e Add to Reading List Source URL: www.ecs.umass.edu Language: English - Date: 2015-09-28 09:41:59 Parallel computing Emerging technologies Energy economics Computer networking Sensor node Wireless sensor network K computer Energy proportional computing Data-intensive computing Energy development Sustainable energy Renewable energy
136	Massively-Parallel Stream Processing under QoS Constraints with Nephele Björn Lohrmann Daniel Warneke Add to Reading List Source URL: stratosphere.eu Language: English - Date: 2016-05-27 12:05:58 Computing Concurrent computing Network performance Parallel computing Programming paradigms Computer architecture Latency Throughput Data-intensive computing Low latency Pipeline Real-time computing
137	Case Study Information Security Reporting In a large enterprise environment there are traditional information sources that house a great Add to Reading List Source URL: customers.cask.co Language: English - Date: 2016-06-05 22:22:40 Computing Hadoop Apache Hadoop Cask Sqoop Apache Spark MapReduce MapR Apache Hive Data-intensive computing
138	W H I T E PA P E R Intelligent HPC Workload Management High-Throughput Computing for HPC Convergence of high-throughput computing (HTC) Add to Reading List Source URL: 4d9ya82itheg3z56vb2uy2np.wpengine.netdna-cdn.com Language: English - Date: 2015-10-06 18:32:58 Concurrent computing Computing Parallel computing Software Job scheduling High-throughput computing Job scheduler Scheduling Batch processing Apache Hadoop Computer cluster Data-intensive computing
139	1 Detecting Bottlenecks in Parallel DAG-based Data Flow Programs Dominic Battr´e, Matthias Hovestadt, Bj¨orn Lohrmann, Alexander Stanik and Daniel Warneke Technische Universit¨at Berlin Add to Reading List Source URL: stratosphere.eu Language: English - Date: 2016-05-27 12:05:58 Computing Concurrent computing Parallel computing Network performance Computer performance Data parallelism I/O bound Data-intensive computing Bottleneck Task Manager Apache Hadoop Central processing unit
140	Science that Matters: Integrating Information, Science, and Technology for Prediction Implementation Plan v 3.0 Add to Reading List Source URL: www.lanl.gov Language: English - Date: 2016-02-11 16:07:20 Computing Academia Data management Information Emerging technologies Bechtel Los Alamos National Laboratory Los Alamos New Mexico United States Department of Energy national laboratories Big data Data-intensive computing Bioinformatics

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