What is Parallel Processing

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Parallel processing is the ability of the barrier to simultaneous process incoming stimuli of differing quality. Parallel processing is the simultaneous use of more than one CPU or processor core to execute programs or multiple computational threads. Parallel processing makes program run faster because there are more engines running it. Several different form of parallel computing: bit-level, instruction level, data and task parallelism. Learn more in: Biometrics in Cloud Computing

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Executing multiple instructions within a computer program simultaneously across multiple processing units on one or more physical devices (i.e. CPU or GPU cores). Learn more in: Applying Graphics Processing Unit Technologies to Agent-Based Simulation

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Is a method of simultaneously breaking up and running program tasks on multiple microprocessors, thereby reducing processing time. Learn more in: Improving the Optimality Verification and the Parallel Processing of the General Knapsack Linear Integer Problem

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Mirroring or reflecting of dynamics within the supervision triadic relationship that occur within another relationship. Learn more in: Addressing the Parallel Process, Countertransference, and Resistance in Supervision Using Play and Expressive Arts Techniques

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Parallel processing is the allocation of the operating system’s processing load across several processors (Singh, 1998, p. 209). Learn more in: Development and Design Methodologies in DWM

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The concurrent execution of the same task, split into components, on multiple processors in order to achieve faster processing speeds. Learn more in: Distributed Medical Image and Volume Registration

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The concurrent execution of the same task, split into components, on multiple processors in order to achieve faster processing speeds. Learn more in: Distributed Medical Volume Registration