ALGORITHMICALLY DRIVEN SELECTION OF PARALLELIZATION TECHNIQUE FOR RUNNING MODEL SIMULATION

Systems and methods of automating parallelization kernel selection in distributed simulations are discussed herein. Techniques disclosed pertain to attempting execution of all runs or representative run sets on an external simulation kernel and monitoring for failures, with a threshold amount of failures prompting simulation run completion on an internal simulation kernel. Further techniques pertain to performing static analysis on a model simulation job to determine an appropriate simulation kernel.