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Distinct solutions after online classification (auto/crowd-tune LLVM compiler flags (minimize execution time))
Scenario UID
2aaed4c520956635 (experiment.tune.compiler.flags.llvm.e)
Data UID
ffb833f7199e39cf
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 2aaed4c520956635:ffb833f7199e39cf
Compiler
LLVM 3.8.0
CPU
sc8830
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
3a462a08477a90f4
2.24
1.04
-O3 -ffast-math -fno-rtti -fno-unroll-loops -mrelax-all -fmodules-prune-after=44 -mno-movt
-O3
1
0
2
1
milepost-codelet-mibench-automotive-basicmath-cubic-codelet-3-1
default
1
SAMSUNG GT-I9060I
Android 4.4.4
S2
c32c444abb85768f
1.18
1.00
-O3 -fno-merge-all-constants -fno-signed-zeros -fstrict-aliasing -fno-unroll-loops -fno-vectorize -mglobal-merge -mrelax-all -ffixed-r9 -ffp-contract=fast
-O3
1
0
2
1
milepost-codelet-mibench-consumer-tiffmedian-src-tiffmedian-codelet-1-1
default
1
SAMSUNG GT-I9060I
Android 4.4.4
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Grigori Fursin
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