geoweaver_esiplab_report.pptx (7.37 MB)

Geoweaver: a web-based prototype system for managing compound geospatial workflows of large-scale distributed deep networks

Download (7.37 MB)
presentation
posted on 30.01.2019 by Ziheng Sun, Liping Di
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.

Funding

ESIPLab

History

Licence

Exports