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author | Birte Kristina Friesel <birte.friesel@uos.de> | 2023-11-13 15:55:06 +0100 |
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committer | Birte Kristina Friesel <birte.friesel@uos.de> | 2023-11-13 15:55:06 +0100 |
commit | f5a09c2bd9dbbbaf330ac8cdd473fd2ff0ccba05 (patch) | |
tree | e17c1e54a1cd81d75b14ae7ffb798a59fd6b444f | |
parent | 0ad1d1d979d1d352eb19779725b66f1d1db32c15 (diff) |
more specific logfile limitations
-rw-r--r-- | README.md | 3 |
1 files changed, 2 insertions, 1 deletions
@@ -70,7 +70,8 @@ We also have a short [video example](https://ess.cs.uos.de/static/videos/splc22- ## Log-Based Performance Model Generation Here, dfatool works with lines of the form "`[::]` *Key* *Attribute* | *parameters* | *NFP values*", where *parameters* is a space-separated series of *param=value* entries (i.e., benchmark configuration) and *NFP values* is a space-separate series of *NFP=value* entries (i.e., benchmark output). -All measurements of a given *Key* must use the same set of parameter names and NFP names. +All measurements of a given *Key* *Attribute* combination must use the same set of NFP names. +Parameter names may be different -- parameters that are present in other lines of the same *Key* *Attribute* will be treated as undefined in those lines where they are missing. Use `bin/analyze-log.py file1.txt file2.txt ...` for analysis. |