How to use parallelizes in a sentence? Find typical usage patterns (collocations)/phrases/context for "parallelizes" and check conjugation/comparative form for "parallelizes". Mastering all the usages of "parallelizes" from sentence examples published by news publications.
Four of the avout destroy the ship's main weapon before falling in combat. The rest of the team boards the ship and temporarily pass out from breathing alien air. The narrative now parallelizes across multiple timelines. In one narrative, Fraa Jad awakens Erasmas and leads him through the ship toward the command center.
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By storing and managing data based on columns rather than rows, column-oriented architecture overcomes query limitations that exist in traditional row-based RDBMS. Only the necessary columns in a query are accessed, reducing I/O activities by circumventing unneeded rows. InfiniDB is accessed through a MySQL interface. It then parallelizes queries and executes in a MapReduce fashion (similar in concept to the methodology used by Apache Hadoop).
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A data parallel approach to genetic programming using programmable graphics hardware . In Proceedings of the 9th annual conference on Genetic and evolutionary computation (pp. 1566-1573). ACM. The use of multiple video cards in one computer, or large numbers of graphics chips, further parallelizes the already parallel nature of graphics processing."Using Multiple Graphics Cards as a General Purpose Parallel Computer: Applications to Computer Vision", Proceedings of the 17th International Conference on Pattern Recognition (ICPR2004) , Cambridge, United Kingdom, 23–26 August 2004, volume 1, pages 805–808.
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Acceleware was founded in 2004, in Calgary, Alberta Canada. Extensive research on special-purpose hardware was conducted, and Acceleware developed competence-accelerating scientific computing software applications. Graphics processing units (GPUs) became the main hardware focus, as their parallel processing capabilities and extremely high memory bandwidth made them superior for accelerating scientific applications. GPU Computing (using a graphics processing unit to compute mathematical algorithms), parallelizes complex tasks so that many equations may be calculated at one time, as opposed to CPU computing which requires that these tasks be done in sequence.
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The Dryad runtime parallelizes the dataflow graph by distributing the computational vertices across various execution engines (which can be multiple processor cores on the same computer or different physical computers connected by a network, as in a cluster). Scheduling of the computational vertices on the available hardware is handled by the Dryad runtime, without any explicit intervention by the developer of the application or administrator of the network. The flow of data between one computational vertex to another is implemented by using communication "channels" between the vertices, which in physical implementation is realized by TCP/IP streams, shared memory or temporary files. A stream is used at runtime to transport a finite number of structured Items.
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