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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 UIDccbb3653554136b6
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:ccbb3653554136b6
CompilerGCC 4.8.4
CPUIntel(R) Xeon(R) CPU E5-1630 v3 @ 3.70GHz
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 4915a1dbd3c532c1 1.31 0.86 -O3 -fno-tree-ter -funroll-all-loops -O3 1 0 5 34 milepost-codelet-mibench-automotive-susan-s-src-susan-codelet-1-1 default 1298.902, 2496.199, 1789.875, 2193.406 4 Supermicro 0123456789 (SYS-5038A-I) Ubuntu 14.04.5 LTS
S2 e64e45abd1a74eca 1.21 0.86 -O3 -fno-tree-loop-optimize -funroll-loops -O3 2 0 6 34 milepost-codelet-mibench-automotive-susan-s-src-susan-codelet-1-1 default 1898.996, 1596.058, 2499.957, 1290.23 4 Supermicro 0123456789 (SYS-5038A-I) Ubuntu 14.04.5 LTS



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