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Collective Knowledge Framework applied to C++ March Madness Ranking Predictor

Notes

Pull CK repo

ck pull repo --url=<repo url>

List programs

ck ls program

List all datasets

ck ls dataset

List compatible datasets

ck search dataset --tags=march-madness

Compile the program once

ck compile program:simulator

Run the program once

ck run program:simulator

Run the program multiple times as a part of a proper experiment:

ck benchmark program:simulator --repeititions=10

Run the program while changing some run-time parameters:

ck run program:simulator --env.apply_scaling_1=100

or

ck benchmark program:simulator --env.apply_scaling_1=100

Run compiler autotuning experiment

ck autotune program:simulator --iterations=100 --repetitions=4 --record_uoa=march-madness-experiment --gcc

See results

ck plot graph:<experiment uoa>

or

ck browse experiment:<experiment uoa>

Replay a specific point

ck replay experiment:<experiment uoa> --point=<point uoa>

Run march madness experiment with compiler flags that acheived highest speedup for GCC 7 on RPi

ck benchmark program:simulator
--shared_solution_cid=27bc42ee449e880e:
79bca2b76876b5c6-8289e0cf24346aa7-
f49649288ab0accd

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