Confuga: Scalable Data Intensive Computing for POSIX Workflows Patrick Donnelly, Nicholas Hazekamp, Douglas Thain Department of Computer Science and Engineering University of Notre Dame {pdonnel3,nhazekam,dthain}@nd.edu

Source URL: ccl.cse.nd.edu

Windows Azure for Research Accelerate the speed of scientific discovery Windows Azure provides researchers with the power and scalability of cloud computing for collaboration, computation, and data-intensive processing.

Source URL: gciee.t.u-tokyo.ac.jp

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

Source URL: asterix.ics.uci.edu

Biomedical Case Studies in Data Intensive Computing Geoffrey Fox1,2, Xiaohong Qiu1, Scott Beason1, Jong Choi1,2, Jaliya Ekanayake1,2 Thilina Gunarathne1,2,Mina Rho2, Haixu Tang2, Neil Devadasan3, Gilbert Liu4, Pervasive

Source URL: grids.ucs.indiana.edu

IMT Institute for Advanced Studies Lucca, Italy Big Data and the Web: Algorithms for Data Intensive Scalable Computing

Source URL: melmeric.files.wordpress.com

CloudVista: Visual Cluster Exploration for Extreme Scale Data in the Cloud Keke Chen Data Intensive Analysis and Computing (DIAC) Lab Ohio Center of Excellence in Knowledge Enabled Computing (Kno.e.sis Center)

Source URL: ssdbm2011.ssdbm.org

Location, Location, Location: Data-Intensive Distributed Computing in the Cloud Michael Luckeneder and Adam Barker School of Computer Science University of St Andrews St Andrews, United Kingdom Email: adam.barker@st-andr

Source URL: www.adambarker.org

Grundzüge der Wirtschaftsinformatik Introduction to Business Information Systems GWI-HT2009 – Unit 3: Data Processing Univ.-Prof. Dr. Martin Hepp Professur für Allgemeine BWL, insbesondere E-Business

Source URL: www.ebusiness-unibw.org

• Computing
• Input/output
• Computer data
• Data processing
• Input
• Software
• Computer
• Information system
• Data-intensive computing

HiMach A Parallel Framework for Analyzing Molecular Dynamics Trajectories HiMach Version 1.0/Document Version 0.1 June 2009

Source URL: www.deshawresearch.com

• Concurrent computing
• Computing
• Parallel computing
• MapReduce
• Data-intensive computing
• Apache Hadoop
• Molecular dynamics
• Map
• Automatic parallelization
• Parallelization contract
• Aster Data Systems

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

Source URL: asterixdb.ics.uci.edu

• Computing
• Concurrent computing
• Software
• Hadoop
• Parallel computing
• Apache Software Foundation
• Distributed computing architecture
• Query languages
• Apache Hadoop
• Data-intensive computing
• MapReduce
• Pig