Message387886
I was curious about the performance impact on a non-AMD64 platform. I run pyperformance using an AWS t4g.micro instance. That's an ARM64 CPU. I did four sets of runs in total and the results seem repeatable, even given the vitalization. I don't know why xml_etree_iterparse is significantly slower. Seems like a spurious anomaly.
I was going to try on a m6g.metal instance (bare metal, no virtualization) by my AWS account doesn't allow that many vCPUs it seems. |
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| Date |
User |
Action |
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| 2021-03-01 23:46:14 | nascheme | set | recipients:
+ nascheme, tim.peters, methane |
| 2021-03-01 23:46:14 | nascheme | set | messageid: <[email protected]> |
| 2021-03-01 23:46:14 | nascheme | link | issue37448 messages |
| 2021-03-01 23:46:13 | nascheme | create | |
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