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.
277
398
(0)
3
March 7, 2025, 7:34 p.m.
March 7, 2025, 7:34 p.m.
Versions
| 2025-03-11.2 | March 11, 2025, 1:27 p.m. | urn:fabric:contents:renci:adb3729f-9a3b-4e4a-8992-2ebba6b9647b | 146 | download |
| 2025-03-11.1 | March 11, 2025, 1:14 p.m. | urn:fabric:contents:renci:98f4af48-9320-4ed6-af3a-cb7433933e61 | 128 | download |
| 2025-03-11 | March 11, 2025, 4:24 a.m. | urn:fabric:contents:renci:3b59fae8-8cdf-43d4-8571-ed1f5c6ee1dc | 124 | download |
Authors
- Charles Carpenter , University of Kentucky (charles.s.carpenter@uky.edu)
- James Griffioen , University of Kentucky (griff@uky.edu)
- Pinyi Shi , University of Kentucky (pinyi.shi@uky.edu)