Sentence examples for end-to-end processing from inspiring English sources

Note that, these speedups are all based on end-to-end processing time of a single sinogram using 32 compute nodes.

We describe the result of the core processing inside the database and the end-to-end processing time from back-end to front-end.

Ten distinct cases are presented for two locations, Texas and Hawaii, based on a 100-ha production facility with end-to-end processing that yields fungible co-products including biocrude, animal feed, and ethanol.

Our experimental evaluations show that our optimizations and parallelization techniques can provide 158× speedup using 32 compute nodes (384 cores) over a single-core configuration and decrease the end-to-end processing time of a large sinogram (with 4501 × 1 × 22,400 dimensions) from 12.5 h to <5 min per iteration.

Our experimental results showed that the proposed methods can provide up to 158 (times) speedup (using 32 compute nodes) over single-core configuration, which decreases the end-to-end processing time of a sinogram (with (4501, 1, 22,400) dimensions) from (sim 12.5 h to <5 min per iteration.

Open image in new window Fig. 8 Single selectivity Open image in new window Fig. 9 Drill-down Open image in new window Fig. 10 Roll-up Open image in new window Fig. 11 End-to-end processing tasks Open image in new window Fig. 12 Front-end vs back-end processing.

Some of the errors in this end-to-end sequential processing can be eliminated, especially for the feature extraction stage, by revisiting the input pattern.

We present a systematic framework for end-to-end query processing, using a two-layer architecture that consists of mobile devices at the upper layer and static sensor nodes at the bottom layer.

Equalum – Equalum is an end-to-end stream processing platform that enables companies to perform real-time analytics on any number of data streams and data sets, generated by any variety of applications and gain real-time, actionable insights.

NFLabs also launched a limited beta release of their Enterprise Edition, which is an end-to-end platform for managing, processing and analyzing large-scale data sets.

Our model is efficiently trained end-to-end on a graphics processing unit (GPU), in a single stage, exploiting the dense inference capabilities of fully CNNs.