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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 UID451e36574a2e8b1a
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 8289e0cf24346aa7:451e36574a2e8b1a
CompilerGCC 4.9
CPUQualcomm MSM 8939 HUAWEI KIW-AL10
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 425ca8354b6999af 1.37 1.00 -O3 -fcx-limited-range -fno-early-inlining -fno-gcse -fgcse-lm -fno-graphite-identity -fno-inline-functions -fdefer-pop -fno-signed-zeros -fpartial-inlining -frename-registers -fsched-spec-insn-heuristic -fselective-scheduling2 -fno-sel-sched-pipelining -fno-split-wide-types -ftracer -fno-tree-copyrename -fno-tree-loop-optimize -fvect-cost-model -fsched-stalled-insns-dep=0 -fsched-stalled-insns=0 --param gcse-unrestricted-cost=6 --param max-peel-times=13 --param max-completely-peel-times=2 --param hot-bb-count-ws-permille=903 --param max-grow-copy-bb-insns=14 --param max-cse-path-length=6 --param iv-consider-all-candidates-bound=45 --param omega-max-vars=166 --param omega-max-wild-cards=7 --param vect-max-version-for-alias-checks=4 --param selsched-max-sched-times=4 --param prefetch-latency=77 --param min-insn-to-prefetch-ratio=14 --param max-vartrack-reverse-op-size=92 --param asan-use-after-return=0 -O3 1 0 2 1 milepost-codelet-mibench-consumer-tiffmedian-src-tiffmedian-codelet-3-1 default DGEMM_NN DGEMM_NN_1x1.json 800, 800, 800, 800, 800, 800, 800, 800 1 HUAWEI KIW-AL10 Android 5.1.1



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