CoFRIS: Coordinated Frequency and Resource Scaling for GPU Inference Servers

Author:

Chow Marcus1ORCID,Wong Daniel1ORCID

Affiliation:

1. University of California, Riverside, USA

Publisher

ACM

Reference35 articles.

1. AMD. 2017. Changing number of Compute Units issue #5 RadeonOpenCompute/ROC-SMI. https://github.com/RadeonOpenCompute/ROC-smi/issues/5

2. AMD. 2022. rocm_smi_lib. https://github.com/RadeonOpenCompute/rocm_smi_lib

3. AMD. 2023. Stream Management HIP API. https://docs.amd.com/bundle/HIP-API-Guide-v5.4.1/page/a00183.htmlf

4. AutoInfer: Self-Driving Management for Resource-Efficient, SLO-Aware Machine=Learning Inference in GPU Clusters

5. Seungbeom Choi, Sunho Lee, Yeonjae Kim, Jongse Park, Youngjin Kwon, and Jaehyuk Huh. 2021. Multi-model machine learning inference serving with gpu spatial partitioning. arXiv preprint arXiv:2109.01611 (2021).

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