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Parallel Processing

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ALSO CALLED: Array Processing and Parallel Computing
DEFINITION: MPP (massively parallel processing) is the coordinated processing of a program by multiple processors that work on different parts of the program, with each processor using its own operating system and memory. Typically, MPP processors communicate using some messaging interface. In some implementations, up to 200 or more processors can work on the same application. An "interconnect" arrangement  … 
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Parallel Processing Reports
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Sun HPC Virtual Tradeshow
sponsored by Sun Microsystems, Inc.
VIRTUAL TRADESHOW: Performance Computing (HPC) is business ready. HPC can give your organization a competitive advantage through shorter development cycles, better decision making and lower costs. Download this webcast to discuss new technologies, accomplishments, and collaborations in HPC, networking, storage, software, and data management.
Posted: 23 Sep 2009 | Premiered: 23 Sep 2009


Best Practices for a Data Warehouse on Oracle Database 11g
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Posted: 19 Jan 2009 | Published: 19 Jan 2009

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PARALLEL PROCESSING DEFINITION (continued): … MPP (massively parallel processing) is the coordinated processing of a program by multiple processors that work on different parts of the program, with each processor using its own operating system and memory. Typically, MPP processors communicate using some messaging interface. In some implementations, up to 200 or more processors can work on the same application. An "interconnect" arrangement of data paths allows messages to be sent between processors. Typically, the setup for MPP is more complicated, requiring thought about how to partition a common database among processors and how to assign work among the processors. An MPP system is also known as a "loosely coupled" or "shared nothing" system.An MPP system is considered better than a symmetrically parallel system (SMP) for applications that allow a number of databases to be searched in parallel. These include decision support system and data warehouse applications.
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