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This page is outdated!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 UID
8289e0cf24346aa7 (experiment.tune.compiler.flags.gcc.e)
Data UID
34aaf1afe34b7fb2
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 8289e0cf24346aa7:34aaf1afe34b7fb2
Compiler
GCC 9.3.0
CPU
AMD Ryzen 5 3600 6-Core Processor
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
OS
Replay
S1
fd074fc8b133b942
1.11
0.40
-O3 -fno-devirtualize-at-ltrans -fno-if-conversion -fno-ipa-pure-const -flto -fno-sched-dep-count-heuristic
-O3
1
1
4
32
cbench-automotive-qsort1
default
cdataset-qsort-0001
data.txt
3599.996, 3599.996
2
Microsoft Corporation 7.0 (Virtual Machine)
Ubuntu 20.04.1 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
Go Back
Developed by
Grigori Fursin
Implemented as a
CK workflow
Hosted at