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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
68304cda976cb04e
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 2aaed4c520956635:68304cda976cb04e
Compiler
LLVM 3.8.0
CPU
Intel(R) Xeon(R) CPU E5-2673 v3 @ 2.40GHz
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
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Iters
Program
CMD
Dataset
Dataset file
CPU freq (MHz)
Cores
Platform
OS
Replay
S1
7431295b5827dca8
1.27
0.99
-O3 -fno-unroll-loops
-O3
1
1
7
35
milepost-codelet-mibench-consumer-tiffdither-src-tif-fax3-codelet-9-1
default
2397.185, 2397.185, 2397.185, 2397.185
4
Microsoft Corporation 7.0 (Virtual Machine)
Ubuntu 16.04 LTS
S2
484a6ea918bef35d
1.16
0.99
-O3 -mrelax-all
-O3
1
0
3
32
milepost-codelet-mibench-security-pgp-e-src-mpilib-codelet-3-1
default
2397.185, 2397.185, 2397.185, 2397.185
4
Microsoft Corporation 7.0 (Virtual Machine)
Ubuntu 16.04 LTS
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Grigori Fursin
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