a. name of project or proposed name of project (must be unique within Deep Learning):
EDL
b. requested project maturity level (Graudation or Incubation stage):
Incubation stage
c. project description (what it does, why it is valuable, origin and history):
EDL is an Elastic Deep Learning framework designed to help Deep Learning Cloud Service providers to build cluster cloud services using different deep learning frameworks PaddlePaddle, Tensorflow, etc.). EDL includes a Kubernetes controller, PaddlePaddle auto-scaler, which changes the number of processes of distributed jobs to the idle hardware resource in the cluster, and a new fault-tolerable architecture.
d. statement on alignment with Deep Learning’s mission:
EDL falls within the mission of Deep Learning. The project helps cloud service providers build cluster cloud services using various deep learning frameworks.
e. Project’s license: Apache-2.0
f. Source control (GitHub, etc.): https://github.com/paddlepaddle/edl
g. External dependencies (including licenses of those dependencies):
-
Kubernetes (Apache-2.0)
-
Go
h. Initial committers (how long working on project):
-
Wangyi: Half a year, project founder
-
Wuyi: Half a year, main contributor
i. RACI if applicable / exists: Not applicable
j. Infrastructure requests (CI / cluster requirements): None
k. Mailing lists currently in use: None
l. Issue tracker (GitHub by default): GitHub issue tracker
m. Website: https://github.com/PaddlePaddle/edl/
n. Release methodology and mechanics: Released on GitHub
o. Social media accounts: None
p. Existing sponsorship, if any: Baidu
q. Tool chain: It depends Kubernetes and Go.