Definition of parallel processing in English:

parallel processing

noun

mass nounComputing

A mode of operation in which a process is split into parts, which are executed simultaneously on different processors attached to the same computer.
并行处理模式
Example sentencesExamples
- However, conventional embedded processors without efficient parallel processing could not execute massive image processing and high speed data transfer with low power consumption.
- The eServer p655 is designed for applications that require very large databases or massively parallel processing, typically needed by companies in sectors like digital media and life sciences.
- IBM began selling servers in the 1960s and produced key innovations such as using several small computers instead of one big one to solve large problems, known as parallel processing.
- The advent of high speed super computers and parallel processing has decreased the length of time involved in a calculation but this approach is still not ‘fast.’
- Thanks to the benefits of parallel image acquisition and parallel processing, such a system can scan images at a much higher speed than conventional systems and process digital data in real time.

Definition of parallel processing in US English:

parallel processing

nounˈperəˌlel ˈpräˌsesiNGˈpɛrəˌlɛl ˈprɑˌsɛsɪŋ

Computing

A mode of computer operation in which a process is split into parts that execute simultaneously on different processors attached to the same computer.
并行处理模式
Example sentencesExamples
- The eServer p655 is designed for applications that require very large databases or massively parallel processing, typically needed by companies in sectors like digital media and life sciences.
- However, conventional embedded processors without efficient parallel processing could not execute massive image processing and high speed data transfer with low power consumption.
- The advent of high speed super computers and parallel processing has decreased the length of time involved in a calculation but this approach is still not ‘fast.’
- IBM began selling servers in the 1960s and produced key innovations such as using several small computers instead of one big one to solve large problems, known as parallel processing.
- Thanks to the benefits of parallel image acquisition and parallel processing, such a system can scan images at a much higher speed than conventional systems and process digital data in real time.

单词	parallel processing
释义	Definition of parallel processing in English: parallel processing noun mass nounComputing A mode of operation in which a process is split into parts, which are executed simultaneously on different processors attached to the same computer. 并行处理模式 Example sentencesExamples However, conventional embedded processors without efficient parallel processing could not execute massive image processing and high speed data transfer with low power consumption. The eServer p655 is designed for applications that require very large databases or massively parallel processing, typically needed by companies in sectors like digital media and life sciences. IBM began selling servers in the 1960s and produced key innovations such as using several small computers instead of one big one to solve large problems, known as parallel processing. The advent of high speed super computers and parallel processing has decreased the length of time involved in a calculation but this approach is still not ‘fast.’ Thanks to the benefits of parallel image acquisition and parallel processing, such a system can scan images at a much higher speed than conventional systems and process digital data in real time. Definition of parallel processing in US English: parallel processing nounˈperəˌlel ˈpräˌsesiNGˈpɛrəˌlɛl ˈprɑˌsɛsɪŋ Computing A mode of computer operation in which a process is split into parts that execute simultaneously on different processors attached to the same computer. 并行处理模式 Example sentencesExamples The eServer p655 is designed for applications that require very large databases or massively parallel processing, typically needed by companies in sectors like digital media and life sciences. However, conventional embedded processors without efficient parallel processing could not execute massive image processing and high speed data transfer with low power consumption. The advent of high speed super computers and parallel processing has decreased the length of time involved in a calculation but this approach is still not ‘fast.’ IBM began selling servers in the 1960s and produced key innovations such as using several small computers instead of one big one to solve large problems, known as parallel processing. Thanks to the benefits of parallel image acquisition and parallel processing, such a system can scan images at a much higher speed than conventional systems and process digital data in real time.
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