Collective Knowledge Aggregator
proof-of-concept
Crowd results
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Select CK-powered unified experimental workflow:
crowd-benchmark DNN libraries and models using mobile devices
crowd-benchmark DNN libraries and models
open ReQuEST @ ASPLOS'18 tournament (Pareto-efficient image classification)
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)
auto/crowd-tune GCC compiler flags (minimize execution time)
auto/crowd-tune LLVM 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 (minimize execution time, do not degrade code size)
auto/crowd-tune OpenCL-based CLBlast (GFLOPs)
crowd-test OpenGL compilers (beta)
crowd-test OpenCL compilers (beta) - crowdsource bug detection via CK
crowd-benchmark shared workloads via ARM WA framework
(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 program scalability
(under development) crowdsource program numerical stability
(under development) crowdsource OpenCL bug detection
(under development) crowdsource modeling of program behavior
auto/crowd-tune GCC compiler flags (custom dimensions)
[ 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
]
[
CK intro
,
universal workload crowd-tuning
;
vision
and
YouTube lecture
]
Routine (CK wrapper):
clblast-tune-xgemm-fp32
GPGPU:
GeForce GTX 1060
GeForce GTX 1080
Intel(R) HD Graphics 4400
Mali-T628
Mali-T880
CPU:
ARM Cortex-A53 ; Samsung Exynos M1
Intel(R) Core(TM) i5-4210U CPU @ 1.70GHz
Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz
Intel(R) Xeon(R) CPU E5-2650 v3 @ 2.30GHz
ODROID-XU3
Platform: