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-- 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 | ||
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QUEUE_SYSTEM LOCAL | ||
QUEUE_OPTION LOCAL MAX_RUNNING 100 | ||
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RANDOM_SEED 11223344 | ||
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NUM_REALIZATIONS 10 | ||
GRID CASE.EGRID | ||
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OBS_CONFIG observations | ||
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FIELD COND PARAMETER cond.bgrdecl INIT_FILES:cond_%d.bgrdecl FORWARD_INIT:False | ||
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GEN_DATA MY_RESPONSE RESULT_FILE:gen_data_%d.out REPORT_STEPS:10,71,132,193,255,316,377,438 INPUT_FORMAT:ASCII | ||
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INSTALL_JOB heat_equation HEAT_EQUATION | ||
SIMULATION_JOB heat_equation <IENS> <ITER> |
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