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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 UIDe1b341196a5887aa
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:e1b341196a5887aa
CompilerLLVM 4.0.0
CPUAMD E1-2500 APU with Radeon(TM) HD Graphics
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 24b951bc94d4cab9 1.63 1.16 -O3 -ffast-math -fslp-vectorize-aggressive -msoft-float -O3 1 1 6 35 milepost-codelet-mibench-automotive-basicmath-cubic-codelet-3-1 default 1400 2 Acer V1.06 (Aspire ES1-520) Windows 10
S2 82250e92b4e55a3b 1.22 1.11 -O3 -fno-unroll-loops -O3 1 0 8 36 milepost-codelet-mibench-network-dijkstra-src-dijkstra-large-codelet-5-1 default 1400 2 Acer V1.06 (Aspire ES1-520) Windows 10

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