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Author here; thanks for sharing, the HPC world is a real blindspot for me and I think we're probably missing some of their insights when profiling regular applications. I'll research these and add them to the database

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You are very wise. Visualization and analysis in particular, but also facilities, from what I've seen. I couldn't find anything in the Python world to measure a Python application calling native code (like linear algebra), but at least Score-P, Extrae, and TAU can, and for parallel applications.

Thanks, I've gone through and added these HPC tools to the spreadsheet.

FYI I'd consider py-spy for profiling Python+C extensions: https://github.com/benfred/py-spy#can-py-spy-profile-native-...

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