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dionhaefner avatar dionhaefner commented on May 31, 2024

Some timings when running on 12 processors:

$ python run_benchmarks.py -s 1e7 -c numpy-mpi -c fortran-mpi -n 12 -f ~/pyOM/py_src/pyOM_code_MPI.cpython-36m-x86_64-linux-gnu.so --burnin 5 -t 25 --mpiexec mpirun -s 1e8 -c bohrium-mpi
running benchmark streamfunction_benchmark.py
 current size: 10077696
  numpy-mpi       ...  17.52s
  fortran-mpi     ...  46.09s
  bohrium-mpi     ...  14.11s
 current size: 100328400
  numpy-mpi       ...  83.46s
  fortran-mpi     ... 385.60s
  bohrium-mpi     ...  71.50s
running benchmark acc2_benchmark.py
 current size: 10077696
  numpy-mpi       ... 222.69s
  fortran-mpi     ...  65.81s
  bohrium-mpi     ...  88.81s
 current size: 100328400
  numpy-mpi       ... 1982.25s
  fortran-mpi     ... 720.76s
  bohrium-mpi     ... 697.20s
running benchmark isoneutral_benchmark.py
 current size: 10077696
  numpy-mpi       ...  25.84s
  fortran-mpi     ...   9.47s
  bohrium-mpi     ...  10.67s
 current size: 100328400
  numpy-mpi       ... 274.00s
  fortran-mpi     ... 101.60s
  bohrium-mpi     ...  93.03s

Looks good to me. Should test multi-node next.

from veros.

dionhaefner avatar dionhaefner commented on May 31, 2024

Can't confirm. We should update the docs.

from veros.

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