Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources

Author(s)
Li, Baolin; Samsi, Siddharth; Gadepally, Vijay; Tiwari, Devesh
Thumbnail
Download3588195.3592997.pdf (1.373Mb)
Publisher Policy
Terms of use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Metadata
Show full item record
Date issued
2023-08-07
URI
https://hdl.handle.net/1721.1/152103
Department
Lincoln Laboratory
Publisher
ACM|Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing
Citation
Li, Baolin, Samsi, Siddharth, Gadepally, Vijay and Tiwari, Devesh. 2023. "Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources."
Version: Final published version
ISBN
979-8-4007-0155-9
Collections