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

Scenario UID8289e0cf24346aa7 (experiment.tune.compiler.flags.gcc.e)
Data UIDfeba02cb1ffd8cb5
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:feba02cb1ffd8cb5
CompilerGCC 4.9
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 d0bfff934f0db661 1.17 0.85 -O3 -fno-rename-registers -funroll-loops -O3 1 0 3 32 milepost-codelet-mibench-automotive-susan-s-src-susan-codelet-1-1 default 1008.0 1 SAMSUNG GT-S6312 Android 4.1.2
S2 1f463895a092b4a0 1.14 1.05 -O3 -fno-cprop-registers -fno-gcse -frename-registers -fno-split-wide-types -fno-tree-loop-optimize -fno-tree-slsr -fno-tree-vrp --param max-pending-list-length=15 -O3 1 2 7 35 cbench-automotive-susan edges image-pgm-0005 data.pgm 320.0 1 SAMSUNG GT-S6312 Android 4.1.2



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