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Vakhtang Tsulaia authored
As it was described in the How to run multi-core jobs in production document, we are introducing two command-line options for the job transform: --multithreaded --multiprocess As the names suggest, the former is used for running AthenaMT and the latter for running AthenaMP. The number of threads/processes is taken from a new ATHENA_CORE_NUMBER environment. Now, we have two equivalent ways to run a job in AthenaMT (Reco_tf is used here as an example): ATHENA_CORE_NUMBER=N Reco_tf.py --multithreaded [Other Options] Reco_tf.py --athenaopts=--threads=N [Other Options] Similarly, for running AthenaMP we have two options: ATHENA_CORE_NUMBER=N Reco_tf.py --multiprocess [Other Options] Reco_tf.py --athenaopts=--nprocs=N [Other Options] We will get a configuration error from the transform if one of the following occurs: * ATHENA_PROC_NUMBER was not set but either --multiprocess or --multithreaded was provided * Both --multiprocess a...
Vakhtang Tsulaia authoredAs it was described in the How to run multi-core jobs in production document, we are introducing two command-line options for the job transform: --multithreaded --multiprocess As the names suggest, the former is used for running AthenaMT and the latter for running AthenaMP. The number of threads/processes is taken from a new ATHENA_CORE_NUMBER environment. Now, we have two equivalent ways to run a job in AthenaMT (Reco_tf is used here as an example): ATHENA_CORE_NUMBER=N Reco_tf.py --multithreaded [Other Options] Reco_tf.py --athenaopts=--threads=N [Other Options] Similarly, for running AthenaMP we have two options: ATHENA_CORE_NUMBER=N Reco_tf.py --multiprocess [Other Options] Reco_tf.py --athenaopts=--nprocs=N [Other Options] We will get a configuration error from the transform if one of the following occurs: * ATHENA_PROC_NUMBER was not set but either --multiprocess or --multithreaded was provided * Both --multiprocess a...
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