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(under development) auto/crowd-tune CUDA work size (execution time)
(under development) auto/crowd-tune OpenCL local work size (execution time)
(under development) auto/crowd-tune OpenCL local work size (execution time/FPS vs energy)
(under development) crowdsource OpenCL bug detection
(under development) crowdsource modeling of program behavior
(under development) crowdsource program numerical stability
(under development) crowdsource program scalability
Collaborative Program Optimization using mobile devices
advice
algorithm
all
announcements.funding
announcements.job
apk
article
auto/crowd-tune GCC compiler flags (do not degrade execution time, do not degrade code size)
auto/crowd-tune GCC compiler flags (minimize execution time and code size)
auto/crowd-tune GCC compiler flags (minimize execution time)
auto/crowd-tune GCC compiler flags (minimize execution time, do not degrade code size)
auto/crowd-tune GCC compiler flags (minimize total binary size, do not degrade execution time)
auto/crowd-tune LLVM compiler flags (do not degrade execution time, do not degrade code size)
auto/crowd-tune LLVM compiler flags (minimize execution time)
auto/crowd-tune LLVM compiler flags (minimize execution time, do not degrade code size)
auto/crowd-tune OpenCL-based CLBlast (GFLOPs)
autotune custom pipeline dimensions
award
caffe
caffe2
cfg
choice
class
clblast
compiler
crowd-benchmark DNN libraries and models
crowd-benchmark DNN libraries and models (Caffe - dev)
crowd-benchmark DNN libraries and models (Caffe2)
crowd-benchmark DNN libraries and models (TensorFlow)
crowd-benchmark DNN libraries and models (dividiti desktop app)
crowd-benchmark DNN libraries and models using mobile devices
crowd-benchmark shared workloads via ARM WA framework
crowd-test OpenCL compilers (beta) - crowdsource bug detection via CK
crowd-test OpenGL compilers (beta)
crowdnode
dataset
dataset.features
demo
device (deprecated or not used)
dissemination.announcement
dissemination.conference
dissemination.event
dissemination.hardware
dissemination.journal
dissemination.keynote
dissemination.lecture
dissemination.patent
dissemination.pitfall
dissemination.poster
dissemination.presentation
dissemination.press-release
dissemination.publication
dissemination.publication.artifact
dissemination.repo
dissemination.soft
dissemination.workshop
docker
env
experiment
experiment.raw
experiment.scenario.android
experiment.user
experiment.view
explore DNN batch size
explore GCC compiler flags
explore LLVM compiler flags
explore OpenBLAS number of threads
explore OpenMP number of threads
explore compiler flags
fgg.misc
fuzz GCC compiler flags (search for bugs)
fuzz LLVM compiler flags (search for bugs)
gemmbench.crowdtuning
graph
graph.dot
index
jnotebook
kernel
machine
math.conditions
math.frontier
math.variation
milepost
model
model.image.classification
model.r
model.sklearn
model.tensorflowapi
module
organization
os
package
person
photo
pipeline
pipeline.cmd
platform
platform.cpu
platform.gpgpu
platform.gpu
platform.init
platform.nn
platform.os
program
program.behavior
program.dynamic.features
program.experiment.speedup
program.optimization
program.output
program.species
program.static.features
qr-code
repo
report
research.topic
result
script
slide
soft
table
tensorflow
test
tmp
video
wa
wa-device
wa-params
wa-result
wa-scenario
wa-tool
web
wfe
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After date (ISO):
Repository:
CK (machine learning based) multi-objective autotuning
CK analytics
CK crowdtuning (crowdsourcing autotuning)
CK dissemination modules
CK repository to crowdsource optimization of benchmarks, kernels and realistic workloads across Raspberry Pi devices provided by volunteers (starting from compiler flag autotuning)
CK web
Large and shared artifacts (HOG experiments) to reproduce CK paper
Reproducible and interactive papers with all shared artifacts for our CK papers
Reproducing PAMELA project (medium data set (20 frames) for slambench) via CK
Reproducing PAMELA project (slambench analysis and crowd-tuning) via CK
Tool clsmith converted to CK format
cTuning datasets (min)
cTuning programs
ck-assets
ck-caffe
ck-caffe2
ck-crowd-scenarios
ck-crowdsource-dnn-optimization
ck-crowdtuning-platforms
ck-dev-compilers
ck-dissemination
ck-docker
ck-env
ck-experiments
ck-math
ck-rpi-optimization-results
ck-tensorflow
ck-wa
ck-wa-extra
ck-wa-workloads
ctuning-datasets
ctuning-programs1
default
gemmbench
local
reproduce-carp-project
reproduce-milepost-project
shader-compiler-bugs
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1)
0x41-8-0x0-0xd03-3 (platform.cpu)
Added by
cTuning foundation
, 2016-11-14 17:03:07, Repo: ck-crowdtuning-platforms
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2)
ARMv7 Processor rev 3 (v7l) (platform.cpu)
Added by
cTuning foundation
, 2016-01-06 00:37:15, Repo: ck-crowdtuning-platforms
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3)
Intel(R) Core(TM) i5-6200U CPU @ 2.30GHz (platform.cpu)
2017-06-18 17:35:10, Repo: ck-crowdtuning-platforms
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4)
Intel(R) Xeon(R) CPU D-1540 @ 2.00GHz (platform.cpu)
Added by
cTuning foundation
, 2016-11-18 13:49:37, Repo: ck-crowdtuning-platforms
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5)
m7 (platform.cpu)
2017-07-03 06:10:16, Repo: ck-crowdtuning-platforms
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6)
MT6582 (platform.cpu)
Added by
cTuning foundation
, 2016-08-13 04:38:19, Repo: ck-crowdtuning-platforms
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7)
MT6755 (platform.cpu)
Added by
cTuning foundation
, 2016-09-05 20:38:26, Repo: ck-crowdtuning-platforms
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8)
Qualcomm MSM 8610 (Flattened Device Tree) (platform.cpu)
Added by
cTuning foundation
, 2016-10-03 15:25:01, Repo: ck-crowdtuning-platforms
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9)
Qualcomm MSM 8939 HUAWEI KIW-L21 (platform.cpu)
2017-08-29 18:12:17, Repo: ck-crowdtuning-platforms
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10)
Samsung EXYNOS5430 (platform.cpu)
Added by
cTuning foundation
, 2016-04-05 15:33:00, Repo: ck-crowdtuning-platforms
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11)
Samsung J7 Max LTE SWA rev02a board based on MT6757 (platform.cpu)
2017-09-07 20:59:43, Repo: upload
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12)
SAMSUNG M2_ATT (platform.cpu)
2017-09-11 02:22:13, Repo: upload
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13)
sc9832 (platform.cpu)
2017-09-10 06:33:08, Repo: upload
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14)
UNIVERSAL3470 (platform.cpu)
2017-07-06 20:37:52, Repo: ck-crowdtuning-platforms
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15)
UNIVERSAL3475 (platform.cpu)
Added by
cTuning foundation
, 2016-08-05 18:11:09, Repo: ck-crowdtuning-platforms
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