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The simulation results show a significantly reduced execution time (40 times faster) and also reveal the conditions where the event-scheduling update scheme is superior.
The information models are used to calculate the reduced execution time and the network delay.
The trade-off is between the reduced execution time and the network delay.
These techniques trade accuracy for reduced execution time, which is crucial for managing the complexity of large designs.
The reason for the negative impact of offloading is that the network delay is greater than the reduced execution time caused by offloading.
So it will take a long time to collect runtime status for comparison, and the trade-off is between the reduced execution time and the network delay.
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When a workflow is executed several times, Anduril caches results of components and only executes the components whose configuration has changed since the last run, which reduces execution time significantly.
In [18], a parallel Hough transform for reducing execution time was proposed, but space complexity remains.
This concept can remarkably reduce execution time and computing complexity for multi-train simulation.
Chern et al. presented a parallel Hough transform to reduce execution time [18].
As a whole, our approach can help reduce execution time by 6 96% for computation-intensive applications.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com