Shared and Distributed Computing

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Shared and Distributed Computing

For some 3DCS models the Analysis run time can be long, depending on the type and size of the model as well as the number of samples the user chooses to run. Whether it is running Monte Carlo Simulation, Contributor Analysis, AAO, or Simulation-Based Sensitivity, the calculation run time can now be reduced by using one of the two options:

3DCS Shared Memory: using your own hardware.

On Demand Cloud Computing: using the services offered by Parallel Works.

 

Benefits of 3DCS Parallel Processing

Faster analysis run times with no additional licenses

Ability to build more accurate models with higher complexity (which usually requires longer calculation time)

Simultaneously run multiple design configurations

Ability to increase the number of samples for higher accuracy statistics

Concurrently run multiple analysis methods: Monte Carlo analysis, Contributor Analysis, GeoFactor Equation-Based, Simulation-Based Sensitivity

Continue working on your model while the analysis are running.