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Distinct solutions after online classification (auto/crowd-tune LLVM compiler flags (minimize execution time))

Scenario UID2aaed4c520956635 (experiment.tune.compiler.flags.llvm.e)
Data UID4a21cbba15454892
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 2aaed4c520956635:4a21cbba15454892
CompilerLLVM 3.6
CPUQCT MSM7625a FFA
Objectivemin
Improvement key IK1Main kernel execution time speedup [min]
Improvement key IK2Code 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 54bce844bb29ad4f 1.30 1.00 -O3 -fwrapv -O3 1 0 10 40 cbench-automotive-susan smoothing image-pgm-from-pamela-100 data.pgm 245.76 1 SAMSUNG GT-S6312 Android 4.1.2
S2 bfe3408097d36220 1.28 1.00 -O3 -msoft-float -O3 1 4 12 41 shared-codelet-filter default image-raw-bin-fgg-office-day-gray data.bin 245.76 1 SAMSUNG GT-S6312 Android 4.1.2
S3 ced8641ecf1ee512 1.15 1.05 -O3 -ffast-math -O3 2 0 9 40 milepost-codelet-mibench-automotive-basicmath-cubic-codelet-3-1 default 480.0 1 SAMSUNG GT-S6312 Android 4.1.2
S4 c404b1ff1453ab41 1.14 1.00 -O3 -fno-unroll-loops -O3 2 2 43 61 cbench-security-rijndael encode image-raw-bin-fgg-office-night-gray data.bin 600.0 1 SAMSUNG GT-S6312 Android 4.1.2



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