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"actions": {
"describe": {
"desc": "describe experiment"
"reproduce": {
"desc": "reproduce experiment"
"choices": {
"flags": [
"-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": "",
"developer_webpage": "",
"full_desc": "Experiment: check program speedups vs a few combinations of compiler flags and several data sets\n\nAuthor: Grigori Fursin (\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",
"experiment": "bc0409fb61f0aa82",
"table": "2884ee69eaefe71e"
"report_file": "report.program.experiment.speedup",