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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
46455b8226c99e7f
Discuss (optimizations to improve compilers,
semantic/data set/hardware features
to improve predictions
, etc):
GitHub wiki
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Google group
Download:
[
All solutions in JSON
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Solutions' classification in JSON
]
Reproduce all (with reactions):
ck replay 8289e0cf24346aa7:46455b8226c99e7f
Compiler
GCC 4.9
CPU
UNIVERSAL3475
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
9141421ab385b387
1.12
1.03
-O3 -fno-auto-inc-dec -ffloat-store -fgcse-las -fno-graphite-identity -fno-ipa-cp -fira-loop-pressure -fno-merge-all-constants -fno-peephole -freorder-blocks-and-partition -fno-sel-sched-pipelining-outer-loops -fno-single-precision-constant -fno-tree-ccp -fno-tree-copy-prop -fno-tree-fre -ftree-loop-ivcanon -fno-tree-pta -fno-tree-switch-conversion -fvect-cost-model --param predictable-branch-outcome=33 --param gcse-after-reload-critical-fraction=13 --param max-peeled-insns=171 --param max-completely-peeled-insns=170 --param unlikely-bb-count-fraction=1154 --param tracer-max-code-growth=93 --param vect-max-peeling-for-alignment=5 --param selsched-max-sched-times=1 --param prefetch-latency=382 --param simultaneous-prefetches=4 --param l2-cache-size=647 --param max-vartrack-expr-depth=0 --param ipa-cp-array-index-hint-bonus=65 --param max-tracked-strlens=419 --param asan-globals=0 --param asan-memintrin=0
-O3
1
0
2
1
milepost-codelet-mibench-consumer-tiff2rgba-src-tif-predict-codelet-4-1
default
1001, 1001, 1001, 1001
1
SAMSUNG SM-J320A
Android 7.1.1
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