Collective Knowledge Aggregator proof-of-concept
Crowd results Raw CK browser Graphs Reports Datasets Models Home

This page is outdated! New version is available here.


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

Scenario UID8289e0cf24346aa7 (experiment.tune.compiler.flags.gcc.e)
Data UID3dbc38b41cdbc742
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 8289e0cf24346aa7:3dbc38b41cdbc742
CompilerGCC 6.2.0
CPUIntel(R) Xeon(R) CPU D-1540 @ 2.00GHz
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 0d0688010a414dd4 1.29 0.37 -O3 -fno-inline -flto -fno-tree-dominator-opts -O3 1 0 5 33 milepost-codelet-mibench-consumer-tiffmedian-src-tiffmedian-codelet-5-1 default 829.218, 826.25, 800.39, 2600, 1170.468, 1192.656, 1197.421, 1094.843, 806.406, 800.468, 800, 2591.328, 1190.39, 967.968, 1125.234, 1035.781 16 Supermicro 0123456789 (Super Server) Ubuntu 14.04.3 LTS



[ Participated users, platforms, OS, CPU, GPU, GPGPU, NN, NPU ] [ How to participate ] [ Motivation (PPT) (PDF) ] [ Papers 1 , 2 , 3] [ Android app ] [ Collective training set ] [ Unified AI ]
View entry in raw format

Developed by Grigori Fursin           
Implemented as a CK workflow
                         
   
                      Hosted at