词汇 | parallel-processing |
释义 | parallel processing noun[ U ] computing specializeduk /ˌpær.ə.lel ˈprəʊ.ses.ɪŋ/ us /ˌper.ə.lel ˈprɑː.ses.ɪŋ/ the ability of a computer to do two or more pieces of work at the same time(计算机)并行处理(技术) Computer concepts 2FA 2SV 3-D printing adaptive learning additive manufacturing haptics HCI hex hexadecimal hill climbing infection simulation stack tebibyte telematic telematics telerobotics teraflop texture word processing parallel processing | Business Englishparallel processing noun[ U ] ITukus a computer process in which two or more pieces of work happen at the same time: Parallel processing requires special software that recognizes how to divide the problem and then bring the results back. Comparecloud computing grid computing Examples of parallel processingparallel processing This does not only mean faster, a goal that can be attained by parallelprocessing. For example, it may be necessary to constrain parallelprocessing within the perceptual span to lexical preprocessing to reduce semantic parafovea-on-fovea effects. Evidence of parallelprocessing of words in text calls this notion into question. Connectionism and the mind: an introduction to parallelprocessing in networks. However, this is different from classical parallelprocessing as quantum parallelprocessing does not necessarily make a tradeoff between processing time and required physical space. Most importantly, these bipolar cell types form the basis for parallelprocessing of visual signals. This information should be organized into autonomous but interacting modules; the model should permit both sequential and parallelprocessing. Unlike parallelprocessing, this effect is unlikely to be a universal. However, the overhead of synchronization between threads which share the same data may degrade the performance of parallelprocessing. The approach is simple and can be implemented on either a personal computer or a parallelprocessing device. System 1 evolved early, is shared with other animals, allows rapid and parallelprocessing of information and is independent of general intelligence. The efficient selection of appropriate branches within the canopy, necessitated rapid initial parallelprocessing of many branches. Fortunately, the common task of similarity searching is readily amenable to parallelprocessing. Therefore, clusters of networked computers have emerged as an effective and relatively inexpensive approach to parallelprocessing in bioinformatics. However, two factors do qualify for universal status - the parallelprocessing constraint and the functional effect observable for verb class. See all examples of parallel processing These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. |
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