Geoweaver: a web-based prototype system for managing compound geospatial workflows of large-scale distributed deep networks
Ziheng Sun
Liping Di
10.6084/m9.figshare.7629491.v1
https://esip.figshare.com/articles/presentation/Geoweaver_a_web-based_prototype_system_for_managing_compound_geospatial_workflows_of_large-scale_distributed_deep_networks/7629491
Geoweaver is a web system allowing users to easily compose and execute
full-stack deep learning workflows via taking advantage of online
spatial data facilities, high-performance computation platforms, and
open-source deep learning libraries. It is a perfect alternative solution to SSH
client (e.g., Putty), FTP client, and scientific workflow software. The presentation was given during the session "ESIP Lab Innovation: Deep Learning, Data Streaming, Provenance, JupyterHub and MORE!" at the Earth Science Information Partners (ESIP) Winter Meeting in January 2019.
2019-01-30 17:20:59
Deep Learning Neural Networks
workflow management systems
web-based tool
Distributed processing of data
Parallel Processing
Data Security Protection
ESIP Winter 2019
Agricultural Land Management
Computer Software
Artificial Intelligence and Image Processing