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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
4deb7b64cbc9ecd0
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 8289e0cf24346aa7:4deb7b64cbc9ecd0
Compiler
GCC 4.8.4
CPU
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
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
8d9c578f6230ade6
2.08
1.02
-O3 -fno-merge-constants -ftracer -fno-tree-ch
-O3
1
1
17
37
milepost-codelet-mibench-consumer-tiffmedian-src-tiffmedian-codelet-4-1
default
2500.054
1
Xen 4.2.amazon (HVM domU)
Ubuntu 14.04.2 LTS
S2
5514d8149b79177e
1.54
0.85
-O3 -fno-guess-branch-probability -funroll-loops
-O3
2
2
14
35
milepost-codelet-mibench-automotive-bitcount-src-bitcnts-codelet-1-1
default
2500.054
1
Xen 4.2.amazon (HVM domU)
Ubuntu 14.04.2 LTS
S3
109a4596b5084344
1.16
0.83
-O3 -funroll-loops
-O3
4
1
19
38
milepost-codelet-mibench-automotive-bitcount-src-bitcnts-codelet-1-1
default
2500.054
1
Xen 4.2.amazon (HVM domU)
Ubuntu 14.04.2 LTS
S4
047abbc9388f77c0
1.11
0.97
-O3 -fno-if-conversion -fno-tree-slsr
-O3
1
1
20
38
milepost-codelet-mibench-automotive-susan-e-src-susan-codelet-2-1
default
2500.054
1
Xen 4.2.amazon (HVM domU)
Ubuntu 14.04.2 LTS
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