Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
ACM|Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing
2023
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| Online Access: | https://hdl.handle.net/1721.1/152103 |
| _version_ | 1826213311502352384 |
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| author | Li, Baolin Samsi, Siddharth Gadepally, Vijay Tiwari, Devesh |
| author2 | Lincoln Laboratory |
| author_facet | Lincoln Laboratory Li, Baolin Samsi, Siddharth Gadepally, Vijay Tiwari, Devesh |
| author_sort | Li, Baolin |
| collection | MIT |
| first_indexed | 2024-09-23T15:47:23Z |
| format | Article |
| id | mit-1721.1/152103 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:47:23Z |
| publishDate | 2023 |
| publisher | ACM|Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing |
| record_format | dspace |
| spelling | mit-1721.1/1521032024-01-19T18:43:00Z Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources Li, Baolin Samsi, Siddharth Gadepally, Vijay Tiwari, Devesh Lincoln Laboratory 2023-09-12T16:44:03Z 2023-09-12T16:44:03Z 2023-08-07 2023-09-01T07:48:03Z Article http://purl.org/eprint/type/ConferencePaper 979-8-4007-0155-9 https://hdl.handle.net/1721.1/152103 Li, Baolin, Samsi, Siddharth, Gadepally, Vijay and Tiwari, Devesh. 2023. "Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources." PUBLISHER_POLICY en https://doi.org/10.1145/3588195.3592997 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. The author(s) application/pdf ACM|Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing Association for Computing Machinery |
| spellingShingle | Li, Baolin Samsi, Siddharth Gadepally, Vijay Tiwari, Devesh Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources |
| title | Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources |
| title_full | Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources |
| title_fullStr | Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources |
| title_full_unstemmed | Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources |
| title_short | Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources |
| title_sort | kairos building cost efficient machine learning inference systems with heterogeneous cloud resources |
| url | https://hdl.handle.net/1721.1/152103 |
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