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Parallel Processing

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ALSO CALLED: Array Processing, Parallel Computing
DEFINITION: Parallel processing software manages the execution of a program on parallel processing hardware with the objectives of obtaining unlimited scalability (being able to handle an increasing number of interactions at the same time) and reducing execution time. Applications that benefit from parallel processing divide roughly into business data processing and technical/scientific processing.Business data  … 
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Parallel Processing Multimedia (View All Report Types)
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Parallel Programming Talk - Dr. David Patterson on the future of Parallel Programming
sponsored by Intel Software Network
PODCAST: Join master of the parallel universe Clay Breshears and Aaron Tersteeg as they discuss parallel programming with a special guest. This episode features Dr. David Paterson, Director of the Universal Parallel Computing Research Center at UC Berkeley sponsored by Intel and Microsoft.
Posted: 28 Aug 2009 | Premiered: Jun 10, 2009

Intel Software Network

Parallel Programming Talk #42 - Wolfgang Von Rüden from CERN
sponsored by Intel Software Network
PODCAST: Wolfgang Von Rüden talks about how CERN uses standards to successfully distribute massive computing jobs to global data centers. Also learn how Wolfgang and his team manage the fast pace of change in computing technology during decade long projects. Wolfgang will also introduce our listeners to his openlab project.
Posted: 28 Aug 2009 | Premiered: Aug 13, 2009

Intel Software Network
2 Matches
PARALLEL PROCESSING DEFINITION (continued): …  processing applications are characterized by record processing, and the size of the data typically creates significant I/O performance issues as well as the need for fast computation. Parallel processing software assists business applications in two significant ways: Frameworks - Dataflow frameworks provide the highest performance and simplest method for expressing record-processing applications so that they are able to achieve high scalability and total throughput. Dataflow frameworks underlie the internals of most relational database management systems (RDBMSs) as well as being available for … 
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