FiPy, I have been successful with getting Trilinos installed and running on our cluster. Thanks for helping to resolve the parallelization issues but now there's another matter.
I have a volumetric heat source and if I add 50 Joules of energy into a mesh during a short run, then at the end I have been able to use Q= mass * heatCapacity * deltaTemperature across the mesh and I find 50 Joules. I'm using constant density and heatCapacity values (no Temperature dependance). I'm confident I have the heat source and FiPy equation set up correctly. However, when I run in parallel I find more that 2x the amount of energy and higher temperatures in the mesh. I've run 3 different mesh densities and the problem changes with mesh density but appears independent of the step size (delta Time). If I set the FIPY_SOLVERS environment variable to 'trilinos' I get good results with a single core. All I'm changing is the -np in the mpirun command (and the corresponding resources in the "PBS -l select=" command). I'm running the single thread job through the same PBS process as the parallel job with 8 or 16 cores. Thanks, Bill _______________________________________________ fipy mailing list fipy@nist.gov http://www.ctcms.nist.gov/fipy [ NIST internal ONLY: https://email.nist.gov/mailman/listinfo/fipy ]
