KNIT10 Accessing Public Big Data Sets ( public )
Efficient access to publicly available big data sets is becoming a key issue for AI applications. This presentation will demonstrate the use of the FAB-cache service to efficiently retrieve large public data sets from the web, and will also show how to leverage FABRIC's various measurement services to track data movement performance.
Views
329
Downloads
552 active
(0 retired)
Versions
3
Last Updated
March 7, 2025, 7:34 p.m.
Versions
| Version | Created | URN | Downloads | Actions |
|---|---|---|---|---|
| 2025-03-11.2 | March 11, 2025, 1:27 p.m. | urn:fabric:contents:renci:adb3729f-9a3b-4e4a-8992-2ebba6b9647b | 204 | download |
| 2025-03-11.1 | March 11, 2025, 1:14 p.m. | urn:fabric:contents:renci:98f4af48-9320-4ed6-af3a-cb7433933e61 | 175 | download |
| 2025-03-11 | March 11, 2025, 4:24 a.m. | urn:fabric:contents:renci:3b59fae8-8cdf-43d4-8571-ed1f5c6ee1dc | 173 | download |
Authors
University of Kentucky
— charles.s.carpenter@uky.edu
University of Kentucky
— griff@uky.edu
University of Kentucky
— pinyi.shi@uky.edu