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Parallel computing / Cloud infrastructure / Distributed computing architecture / Apache Hadoop / MapReduce / Computer cluster / Dryad / MapR / Thread / Computing / Concurrent computing / Cloud computing


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Document Date: 2009-10-26 20:50:38


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Company

Google / Hadoop / Red Hat / DryadLINQ / Intel / Microsoft / /

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Event

Reorganization / Company Expansion / /

Facility

University Bloomington / PLINQ library / bPervasive Technology Institute / /

IndustryTerm

monitoring / appropriate technology / scientific applications / scientific data analysis applications / high energy physics / intensive applications / intensive scientific applications / heterogeneous processing times / shared file systems / certain cluster services / finance / cloud technologies / data processing / data analysis applications / parallel seed-and-extend read-mapping algorithm / similar applications / distributed applications / fault tolerance / local file systems / large computing infrastructures / /

OperatingSystem

Windows HPC Server 2008 / Linux / Windows Server 2008 / Red Hat Enterprise Linux / Microsoft Windows / /

Organization

School of Informatics and Computing / Indiana University / University of Chicago / Atilla Soner Balkir Department of Computer Science / /

Person

Roger Barga / Christophe Poulain / Geoffrey Foxa / /

Position

scheduler / programmer / /

Product

Apache / Dryad / MapReduce / /

ProgrammingLanguage

Language Integrated Query / Java / R / C++ / /

Technology

appropriate technology / Linux / API / 2008 Community Technology / Operating System / Shared memory / human genome / parallel seed-and-extend read-mapping algorithm / Ethernet / Java / cloud technologies / HTTP / MapReduce algorithm / parallel processing / only be accessed using Java / /

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