Massively parallel processing (MPP) is the coordinated processing of a single program by multiple processors, using messaging software to interact. MPP can use any number of processors and greatly increases assimilation rates. Configuration of the central database is crucial for MPP to work effectively. MPP is useful for cross-referencing multiple databases and expanding search request perimeters.
Massively parallel processing, or MPP, is the highly coordinated, structured processing of a single program by more than one processor. Each of the processors involved in the operation focuses on different aspects of the program and makes use of separate memory and operating systems. The processors interact with each other making use of messaging software which is configured to allow the processors to stay in touch even as each processor unit works on its assigned aspect of the overall program.
Any number of processors can be used as part of massively parallel processing. In fact, it’s not uncommon for more than two hundred processors to work on the same program at the same time. Depending on the complexity of the application, adding more processors can greatly increase the rate at which the program is assimilated and used. Typically, the number of multiple processors that will be employed for the application will depend both on the nature of the program and on how the program is to be used within the operating environment.
Massively parallel processors are normally configured to work in tandem with other processors, so there is little or no special programming that needs to be done with the processors themselves. The real challenge is to create the mode of operation between the database and the MPP system. Programmers tasked with setting up the MPP system will have the challenge of configuring the central database so that data can be shared between processors without slowing down the end users ability to access, add, and update data within of the database. This action requires careful attention to detail and should not be attempted by someone unfamiliar with MPP functions.
Sometimes known as a shared null or loosely coupled system, MPP is a great tool when you want to easily cross-reference multiple databases on a given server, allowing users to conduct extensive searches to locate the information they need. In addition, MPP can also work with data storage systems, which will only help expand the search request perimeters.
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