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authorBirte Kristina Friesel <birte.friesel@uos.de>2023-12-11 13:20:16 +0100
committerBirte Kristina Friesel <birte.friesel@uos.de>2023-12-11 13:35:29 +0100
commite0009a99c211ae09eaf13a0438f949e22548c1cd (patch)
tree3e78c71e7513551bd1815d63dac95e689afd65fb /doc
parent5adc034a6945065c0fc3dd5991936d0741a17d7d (diff)
visual analysis: Add --plot-param
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@@ -8,3 +8,18 @@ There are two ways of visualizing all measured data independent of their paramet
* `--boxplot-unparam PREFIX` writes boxplots of all observations to PREFIX(name)-(attribute).pdf and combined boxplots to PREFIX(name).pdf. These may be helpful to see which observations are stable and which show a lot of variance, possibly due to the influence of parameters.
* `--plot-unparam=name:attribute:ylabel` plots all observations of name/attribute in the order in which they were observed. Useful to identify trends (especially when the parameter variation scheme is known as well) and interference.
+
+## Influence of a single Non-Functional Property on a Performance Attribute
+
+Assume that we want to see how the number of requested UPMEM DPUs (`n_dpus`)
+influences the latency of its `dpu_alloc` call (`latency_dpu_alloc_us`). In
+dfatool terms, this means that we want to visualize the influence of the
+parameter (or NFP) `n_dpus` on the attribute `latency_dpu_alloc_us`.
+
+`--plot-param 'NMC reconfiguration:latency_dpu_alloc_us:n_dpus'` does just
+that. "NMC reconfiguration" is the benchmark key, followed by attribute and
+parameter name. It shows each distinct configuration (parameter/NFP value) in
+a different colour. Combining it with `--filter-param` and `--ignore-param`
+may help de-clutter the plot.
+
+[!](/media/n_dpus-dpu_alloc-1.png)