Message387886
| Author | nascheme |
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| Recipients | methane, nascheme, tim.peters |
| Date | 2021-03-01.23:46:13 |
| SpamBayes Score | -1.0 |
| Marked as misclassified | Yes |
| Message-id | <1614642374.02.0.118051142831.issue37448@roundup.psfhosted.org> |
| In-reply-to |
| Content | |
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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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| History | |||
|---|---|---|---|
| Date | User | Action | Args |
| 2021-03-01 23:46:14 | nascheme | set | recipients: + nascheme, tim.peters, methane |
| 2021-03-01 23:46:14 | nascheme | set | messageid: <1614642374.02.0.118051142831.issue37448@roundup.psfhosted.org> |
| 2021-03-01 23:46:14 | nascheme | link | issue37448 messages |
| 2021-03-01 23:46:13 | nascheme | create | |