"SaveData" "SaveScalars" in parallel
Posted: 21 Apr 2022, 00:40
Hi Elmer users,
Using Elmer Version: 9.0 (Rev: Release, Compiled: 2021-05-08) on windows 10
I'm doing a cfd/thermal problem and would like to save some data on a boundary surface using the save data procedure, in particular the min, max and mean temperature and the temperatures variance over the named boundary surface, the min,max and mean can be obtained using the "Parallel Reduce = Logical True" keywords in the Solver and the following lines
Variable 1 = Temperature
Operator 1 = "boundary min"
Operator 2 = "boundary max"
Operator 3 = "boundary int" ! mean temp is boundary int divided by boundary area
Operator 4 = "area"
Operator 5 = "int variance"
but I get the following WARNING:: SaveScalars: Reduction not implemented in parallel:int variance ;-(
If i don't use the Parallel Reduce, how do I postprocess the data files to extract the variance over the named boundary from the variancies of the partial boundary areas in each partition?
I could do it by postprocessing in paraview but I'd like to automate a series of runs looking for the best design that gives the most uniform temperature.
Best Regards
Mark
Using Elmer Version: 9.0 (Rev: Release, Compiled: 2021-05-08) on windows 10
I'm doing a cfd/thermal problem and would like to save some data on a boundary surface using the save data procedure, in particular the min, max and mean temperature and the temperatures variance over the named boundary surface, the min,max and mean can be obtained using the "Parallel Reduce = Logical True" keywords in the Solver and the following lines
Variable 1 = Temperature
Operator 1 = "boundary min"
Operator 2 = "boundary max"
Operator 3 = "boundary int" ! mean temp is boundary int divided by boundary area
Operator 4 = "area"
Operator 5 = "int variance"
but I get the following WARNING:: SaveScalars: Reduction not implemented in parallel:int variance ;-(
If i don't use the Parallel Reduce, how do I postprocess the data files to extract the variance over the named boundary from the variancies of the partial boundary areas in each partition?
I could do it by postprocessing in paraview but I'd like to automate a series of runs looking for the best design that gives the most uniform temperature.
Best Regards
Mark