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G4 fuse input #147
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G4 fuse input #147
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self.source_done = source_done | ||
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# Stick rigorously with raw_records time range | ||
return self.chunk(start=start, end=end, data=data, data_type="geant4_interactions") | ||
return self.chunk(start=start, end=end, data=data)#, data_type="geant4_interactions") |
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I think this is where things are suspicious. How does the output records chunk look like? Are the chunks crazily huge? @jjakob03
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It would be nice if you can direct me to where your records/raw_records_simu is
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I changed this because fuse did drop it as well in this PR. Do you think we need it here?
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Honestly I am not sure if it is necessary and removing it will break things. I am just a bit nervous since this is chunk related, and chunk size does matter hugely for memory consumption. I see that your memory requested is already 55GB. I would say 70GB is the maximum we can take. Maybe give it a last try with 70GB?
Also I would want to see the raw_records_simu and records files. Is it somewhere on midway?
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No sorry I keep them in my scratch. records chunk size is ~1.2GB each with 72 chunks in total and, raw_records_simu chunk size is ~300MB and also 72 chunks in total. Is that helpful?
Yes I would have already gone for more memory but broadwl won't give me more than 58GB and xenon1t partition can't see project and midway3/scratch.
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No sorry I keep them in my scratch. records chunk size is ~1.2GB each with 72 chunks in total and, raw_records_simu chunk size is ~300MB and also 72 chunks in total. Is that helpful?
This is helpful. Maybe try lgrandi
on midway3. Note that you will have to reinstall things... which gonna be a painful 5 minutes
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From the info you gave I don't think this is where things break. Maybe it is just the AmBe super heavy nature itself + some memory leakage. We never figured out why peak building is so expensive in memory.
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By the way, it worked with 65GB on lgrandi. Also, I wasn't aware that the one run I tested with is a 20min AmBe run from topCW5d9m position, while the topCW7d8m ones are only 10 minutes. So probably this is really just super heavy AmBe 😐
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Thanks I think it makes a lot of sense to me! Yeah this is how difficult things are for AmBe computing..
Draft PR for debug purpose