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{
"actions": {
"describe": {
"desc": "describe experiment"
},
"reproduce": {
"desc": "reproduce experiment"
}
},
"choices": {
"flags": [
"-O3",
"-O3 -fno-if-conversion"
]
},
"copyright": "See CK COPYRIGHT.txt for copyright details",
"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",
"program": "b0ac08fe1d3c2615",
"pipeline":"db25414b48b4ffb3",
"experiment": "bc0409fb61f0aa82",
"table": "2884ee69eaefe71e"
},
"data_deps":{
"subview_uoa":"143ce35aac4950a9"
},
"report_file": "report.program.experiment.speedup",
"repository_to_share_results":"remote-ck",
"remote_repo_uoa":"upload",
"remote_experiment_uoa":"reproduce-ck-paper-filter-optimization"
}