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Distinct solutions after online classification (auto/crowd-tune GCC compiler flags (minimize execution time))
Scenario UID
8289e0cf24346aa7 (experiment.tune.compiler.flags.gcc.e)
Data UID
1afbd3290ca4fa4b
Discuss (optimizations to improve compilers,
semantic/data set/hardware features
to improve predictions
, etc):
GitHub wiki
,
Google group
Download:
[
All solutions in JSON
], [
Solutions' classification in JSON
]
Reproduce all (with reactions):
ck replay 8289e0cf24346aa7:1afbd3290ca4fa4b
Compiler
GCC 5.4.0
CPU
Intel(R) Core(TM) i7-7500U CPU @ 2.70GHz
Objective
min
Improvement key IK1
Main kernel execution time speedup [min]
Improvement key IK2
Code size improvement
Improvements (<4% variation)
Distinct workload for highest improvement
#
Solution UID
IK1
IK2
New distinct optimization choices
Ref
Best species
Worst species
Touched
Iters
Program
CMD
Dataset
Dataset file
CPU freq (MHz)
Cores
Platform
OS
Replay
S1
fc4f7eb8b8830090
1.79
0.86
-O3 -ffast-math -funroll-all-loops
-O3
1
1
3
32
milepost-codelet-mibench-consumer-lame-src-newmdct-codelet-10-1
default
3500.084, 3500.066, 3500.045, 3500.053
4
Dell Inc. (XPS 13 9360)
Ubuntu 16.04.1 LTS
S2
e984328e54ae79b3
1.74
1.01
-O3 -fno-tree-fre
-O3
1
0
2
32
milepost-codelet-mibench-consumer-jpeg-c-src-jchuff-codelet-9-1
default
3500.279, 3500.157, 3500.007, 3500.155
4
Dell Inc. (XPS 13 9360)
Ubuntu 16.04.1 LTS
S3
ba926862eb6e8535
1.48
0.91
-O3 -fno-tree-ch -funroll-all-loops
-O3
1
0
4
32
cbench-automotive-bitcount
default
number-0001
3064.072, 2987.338, 2860.279, 3014.046
4
Dell Inc. (XPS 13 9360)
Ubuntu 16.04.1 LTS
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