Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling-Reference-Cited by-同舟云学术

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Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling

Published:2024-04-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1
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Author:

Ahmad Sohaib¹^ORCID,Guan Hui¹^ORCID,Friedman Brian D.²^ORCID,Williams Thomas²^ORCID,Sitaraman Ramesh K.¹^ORCID,Woo Thomas²^ORCID

Affiliation:

1. University of Massachusetts, Amherst, Amherst, Massachusetts, United States of America

2. Nokia Bell Labs, Murray Hill, New Jersey, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3617232.3624849

Reference47 articles.

1. 2018. Twitter Streaming Traces. https://archive.org/details/archiveteam-twitter-stream-2018-04.

2. 2020. Amazon SageMaker. Build train and deploy machine learning models at scale. https://aws.amazon.com/sagemaker/. Accessed: 2021-06-23.

3. 2022. Azure Machine Learning. https://azure.microsoft.com/en-us/services/machine-learning/.

4. 2022. The ONNX Model Zoo. https://github.com/onnx/models. Accessed: 2022-06-06.

5. 2022. Triton Inference Server. https://developer.nvidia.com/nvidia-triton-inference-server.

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1. Loki: A System for Serving ML Inference Pipelines with Hardware and Accuracy Scaling;Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing;2024-06-03

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