Comments (3)
pkrusche
commented on August 24, 2024
When not told otherwise, hap.py guesses the number of threads from the processors physically available, which can increase memory usage. SGE may allocate you 4 processors on a shared node, but the node might have more which hap.py may be trying to use. Can you try passing --threads=4 to see if this fixes your issue?
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wangguangya60
commented on August 24, 2024
Hi, pkrusche. Yes, that works. Thanks a lot.
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pkrusche
commented on August 24, 2024
Happy to help!
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Related Issues (20)
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