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@kamahori
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Fixed some problems about LHCb/NanoAOD/ATLAS benchmarks.

To compress properly,

  • Make them use hadd command.
  • Make them delete files after benchmarking not to suppress storage capacity.

Also, to save time,

  • Change number of iterations from 5 to 3.
  • Change file used in NanoAOD BM to smaller one (Run2012B_DoubleElectron.root).
  • Change file used in ATLAS BM to 2 smaller files: atlasopendata_mc_117050.ttbar_lep.root (Monte Carlo data) and atlasopendata_DataMuons.root (real data).

@kamahori
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Output of these benchmarks can be found here.

@vgvassilev
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We should not use the disk/ssd in cases where we do not want to measure their effects. The benefits are mostly two:

  • Using ramdisk is usually faster and thus we can execute more benchmarks for given time;
  • We increase the life of the benchmarking machines -- usually they are expensive, physical hard-to-get machines.

Could you use GetTempFs and operate on the ramdisk?

@oshadura oshadura requested a review from stwunsch August 25, 2020 07:48
@oshadura
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@stwunsch do you think data sets (e,g, ATLAS) and timing of benchmark is appropriate?

@stwunsch
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Could you tell me how long the benchmarks run?

@oshadura
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@stwunsch here is output from Keisuke: #179 (comment)

@oshadura
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oshadura commented Aug 25, 2020

@kamahori is it really take 122 min for Atlas benchmark? @stwunsch I will better checkout PR by myself 👍

@kamahori
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@oshadura Yes it actually took about 2hrs with my machine.

@stwunsch
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stwunsch commented Aug 25, 2020

i thought we target a runtime of about 30s per benchmark ;) is this realistic for these kind of benchmarks?

@stwunsch
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I think you can set the repetitions down to 1. We get the statistcs anyway by running twice a day!

@stwunsch
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Then, here is a small NanoAOD(-like) sample: https://root.cern/files/rootbench/SMHiggsToZZTo4L.root

@kamahori
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How about number of levels? Do we really need to measure with 3 different levels?

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4 participants