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Type:
Story
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Status: Done (View Workflow)
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Priority:
Normal
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Resolution: Done
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Affects Version/s: None
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Fix Version/s: None
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Component/s: None
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Labels:None
reduceProfiles.py is peaking at 70% of memory use per spectrograph arm on machines at Hilo when running on the latest data. It's also taking a few hours per spectrograph arm. I'd like to improve both of these aspects.
reduceProfiles.py /work/drp --calib=/work/drp/CALIB --rerun=price/20230428-profiles --doraise --id visit=91808^91837^91838^91840^91841^91843^91844^91907..91909^91936..91940^91942..91946^91948..91952 arm=r spectrograph=1 --normId visit=91907..91909 arm=r spectrograph=1 --no-versions -c reduceExposure.doAdjustDetectorMap=True profiles.profileRadius=10 profiles.profileOversample=3 profiles.profileSwath=2000 profiles.profileRejThresh=5 reduceExposure.isr.doFlat=False --no-versions -j 20