Multiprocessing parameter study#
Chemkin application by itself does not support parallel computing, however, in the context of parameter study, each case can run on its own CPU core to make better use of any available computing power. The examples in this section describe the process of applying Python multi-threading and multi-processing packages to PyChemkin parameter study to improve the overall simulation performance.
Setting up a multi-process laminar flame speed parameter study
Setting up a multi-process laminar flame speed parameter study
Setting up a multi-thread laminar flame speed parameter study
Setting up a multi-thread laminar flame speed parameter study