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Limit numpy to one thread in heat equation #8429

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Aug 12, 2024
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Limit numpy to one thread in heat equation #8429

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10 changes: 10 additions & 0 deletions test-data/heat_equation/config.ert
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Original file line number Diff line number Diff line change
@@ -1,3 +1,13 @@
-- By default, NumPy utilizes multiple threads, which is beneficial for parallelizable computations.
-- However, the heat equation implementation in this case does not benefit from parallel execution within a single realization.
-- When ERT runs multiple realizations, each one by default uses multiple threads for NumPy operations,
-- leading to resource contention and slower overall execution.
-- Setting these thread counts to 1 ensures each realization uses minimal resources,
-- allowing more realizations to run concurrently and significantly speeding up the entire experiment.
SETENV MKL_NUM_THREADS 1
SETENV NUMEXPR_NUM_THREADS 1
SETENV OMP_NUM_THREADS 1

QUEUE_SYSTEM LOCAL
QUEUE_OPTION LOCAL MAX_RUNNING 100

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