Sentence examples for model execution in from inspiring English sources

Performance benchmarks demonstrate model execution in around 100 milliseconds on consumer hardware.

A user-friendly interface has been conducted for model execution in a complete application, whose main virtue is expandability.

This provides relatively immediate feedback, but may be impractical in application domains characterized by processes with long runtime, such as model execution in the Model Web, or distributed search in geospatial discovery, where clients need to keep the connection to the server continuously open, in order to wait for the responses.

Unlike weather forecasting that requires the model execution in a few hours, since meteorologists need to inform the weather for next days, the seasonal forecast requires a long-term execution with more flexibility and some unavailability can be tolerated without compromising the results divulgation.

This results in faster model execution (in comparison to table-driven computations) and allows more flexible model computational structure (multiple time sweeps, indexed loops).

The PBPK model execution using the built-in pediatric populations provided reasonable sirolimus pharmacokinetic profile simulations as judged by the fact that the observed sirolimus concentrations all were within the 5 to 95th prediction interval of PK profile simulations.

The model execution stage is in turn supported by a component-based simulation environment.

This is performed by "cutting" the dp files to the desired geographical areas, grids and time interval, as defined by the namelist $MODEL_GRIDS (in RAMSIN); INITIAL: Model execution can be serial or parallel (MPI based) in this stage, with input data files originated from outputs of the last two stages: topography, sea surface temperature, vegetation cover, initial and boundary condition files.

A graphical interface provides model execution and functionality for use in the management phase of the analysis.

For Matlab-Simulink this consists of a number of interface methods that are called at pre-defined points in the model execution.

We also succeeded in reducing the model execution time by 30%.