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parallel computing |
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Solving a problem with multiple computers or computers made up of multiple processors. It is an umbrella term for a variety of architectures, including symmetric multiprocessing (SMP), clusters of SMP systems, massively parallel processors (MPPs) and grid computing. See SMP, MPP, pipeline processing, array processor, vector processor, hypercube and grid computing.
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In addition, the application program that has been parallelized manually runs 1. This trend is especially true for Internet infrastructure workloads, for highly parallelized technical applications and for custom applications in the high performance technical computing market, as well as in some select vertical markets, such as financial services. Applications, or individual modules within a clustered computing infrastructure, take advantage of parallelized I/O access to the entire storage pool, delivering scale and responsiveness to business needs. |
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