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

Scenario UID	2aaed4c520956635 (experiment.tune.compiler.flags.llvm.e)
Data UID	4682c330af14a75b

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 2aaed4c520956635:4682c330af14a75b

Compiler	LLVM 3.4.2
CPU	Intel(R) Core(TM) i5-3470 CPU @ 3.20GHz
Objective	min

Improvement key IK1	Main kernel execution time speedup [min]
Improvement key IK2	Code 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

Replay

299c204e01afdebb

2.68

1.00

-O3 -fno-unroll-loops

-O3

milepost-codelet-mibench-automotive-qsort1-src-qsort-codelet-1-1

default

3601, 3601

VMware, Inc. None (VMware Virtual Platform)

CentOS Linux 7 (Core)

0b444d929461ee14

1.23

0.94

-O3 -ffast-math

-O3

109

milepost-codelet-mibench-consumer-lame-src-psymodel-codelet-17-1

default

3601, 3601

VMware, Inc. None (VMware Virtual Platform)

CentOS Linux 7 (Core)

bdf6419d90d12cb7

1.19

0.99

-O3 -mrelax-all

-O3

milepost-codelet-mibench-security-pgp-e-src-mpilib-codelet-3-1

default

3601, 3601

VMware, Inc. None (VMware Virtual Platform)

CentOS Linux 7 (Core)

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