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.
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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 | 42 | download |
| 2025-03-11.1 | March 11, 2025, 1:14 p.m. | urn:fabric:contents:renci:98f4af48-9320-4ed6-af3a-cb7433933e61 | 25 | download |
| 2025-03-11 | March 11, 2025, 4:24 a.m. | urn:fabric:contents:renci:3b59fae8-8cdf-43d4-8571-ed1f5c6ee1dc | 24 | 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)