{
  "actions": {
    "describe": {
      "desc": "describe experiment"
    },
    "reproduce": {
      "desc": "reproduce experiment"
    }
  },
  "choices": {
    "flags": [
      "-O3",
      "-O3 -fno-if-conversion"
    ]
  },
  "copyright": "See CK COPYRIGHT.txt for copyright details",
  "data_deps": {
    "subview_uoa": "143ce35aac4950a9"
  },
  "desc": "example of a script to reproduce and crowdsource experiments: checking program speedups vs a set of compiler flags vs a few data sets",
  "developer": "Grigori Fursin",
  "developer_email": "Grigori.Fursin@cTuning.org",
  "developer_webpage": "http://fursin.net",
  "full_desc": "Experiment: check program speedups vs a few combinations of compiler flags and several data sets\n\nAuthor: Grigori Fursin (Grigori.Fursin@cTuning.org)\n\nIdea: I started related and ad-hoc experiments around 1993 when optimizing simulation of my semiconductor neural networks on supercomputers in terms of performance, energy and size. Since then I spent many years developing various machine learning based autotuning techniques. At the end, I decided to unify such experimentation.\n\nFirst public version: I developed related plugin for my plugin-based autotuning and crowd-tuning cTuning framework around 2007 for the MILEPOST project (where I developed practical machine-learning based compiler).",
  "license": "See CK LICENSE.txt for licensing details",
  "module_deps": {
    "dataset": "8a7141c59cd335f5",
    "experiment": "bc0409fb61f0aa82",
    "pipeline": "db25414b48b4ffb3",
    "program": "b0ac08fe1d3c2615",
    "table": "2884ee69eaefe71e"
  },
  "remote_experiment_uoa": "reproduce-ck-paper-filter-optimization",
  "remote_repo_uoa": "upload",
  "report_file": "report.program.experiment.speedup",
  "repository_to_share_results": "remote-ck"
}