Sentence examples for manually applications from inspiring English sources

For this reason, today the applications running on the vector DSPs are still coded (or at least optimized) manually: applications can be written in C augmented with so called intrinsic, which are processor-specific complex instructions.

In our framework, we exploit task-level parallelism by manually partitioning applications into several parallel processes using the SAccO communication API for data streams.

This is information that third parties allow for more insight into, going all the way back to the days of desktop software where you manually trained applications that Merchant X went into Category Y.

It was generated manually with application of SentiWordNet [28] as a baseline.

The SLA Manager simply notifies an operator who manually changes application parameters to reduce resource demand.

Sharding – either manually at application level or automated by distributed storage frameworks – can allow scaling out by adding more servers, but it also leads to application complexity if queries and update transactions span over several shards of data.

Array CGH profiles were evaluated manually after application of the circular binary segmentation (CBS) algorithm, which is an algorithm to dissect genomic array data into regions of equal copy number by applying a maximal t-statistic with a permutation reference distribution to determine the change-points [ 22].

"Someone had to manually review those applications, and so many people had to fill out those applications only to find they'd wasted their time because they were ineligible," said Nielsen.

Today, in order to create highly scalable architectures, developers have to manually restructure the application logic, creating balanced application fragments and data partitions to distribute across the available host machines.

Google doesn't screen applications manually (even Apple doesn't actually have a reviewer look through every application's code) but hopefully it can institute some automated tools to better screen malicious apps.

Because these databases typically vary from school to school and each institution has developed its own methods for transferring, analyzing and distributing the data within, developers have to manually integrate their applications with each unique SIS, which tends to be a slow and time-intensive process.