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authorJoel Fernandes <joelaf@google.com>2017-07-07 18:32:37 -0700
committerJoel Fernandes <joelaf@google.com>2017-07-07 18:32:37 -0700
commit2f1ed64085cafdf08e5ca0f4107447e026497ea5 (patch)
tree892b3769fc7d92a4fd543249db5058c85c70a720 /experiments/run_uibench_cgroup.py
parente35b4c1a2cf4c9c4e921c105d43a89eec1843487 (diff)
downloadlisa-2f1ed64085cafdf08e5ca0f4107447e026497ea5.tar.gz
analysis/residency: Build PID residency data
Now I can accumulate total time spent per-pid per-core: next: - augment with tgid, cgroup information - build APIs to get per-tgid and per-cgroup info from this Also I am now accumulating the idle task too so one can see idle time. On Marlin the resulting DataFrame looks like: 0 1 2 3 total pid 0 2.333411 2.600681 1.700502 3.178502 9.813096 1 0.000395 0.000000 0.000802 0.000000 0.001197 3 0.051912 0.000000 0.000000 0.000000 0.051912 4 0.015065 0.000000 0.000000 0.000000 0.015065 6 0.000041 0.000117 0.000000 0.000000 0.000158 7 0.069880 0.068862 0.000000 0.000000 0.138742 ... Change-Id: I7d18920a3b2704125100a948d10cfba534fdb699 Signed-off-by: Joel Fernandes <joelaf@google.com>
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