Sentence examples for batch processing for from inspiring English sources

"batch processing for" is a correct and usable phrase in written English.
It is often used to describe a process of completing a large quantity of tasks or data in a sequential manner. Example: The company implemented a new system for batch processing orders, allowing them to efficiently handle a high volume of sales during peak seasons.

Exact(15)

That's far faster than Hadoop, which uses what is known as "batch processing," for analyzing data.

The behavior of STREAM is stable because it uses batch processing for all streams with the specific parameters.

For the eight-channel full batch processing, for each feature parameter, we combine the results from all eight channels using ROVER.

Second, we provide a methodology, hierarchical metagrid alignment, to allow reliable and efficient batch processing for a set of microarray images.

Although, both STREAM and DCSTREAM utilize batch processing for stream clustering but there is no solution for monotonous data in STREAM.

Table 1 WER obtained using utterance-based batch processing for one-channel, two-channel, and eight-channel tasks   SimData RealData   Room 1 Room 2 Room 3 Avg.

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Similar(45)

Full sigTOOL functionality will be provided to support the user-developed code, including the ability to record a user action history for batch processing of files and support for exporting the results of analyses to external graphics editing software and spreadsheet-based data processing packages.

Vartools is designed especially for batch processing of light curves, including built-in support for parallel processing, making it useful for large time-domain surveys such as searches for transiting planets.

We use FINDWING for both batch processing of large sets of wings, and for real-time interactive processing of single wings.

Hadoop has traditionally been used for batch processing of data.

Hadoop ecosystem is designed as a highly fault-tolerant system for batch processing of long-running complex jobs on very large datasets.

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