Reconciling High Accuracy, Cost-Efficiency, and Low Latency of Inference Serving Systems

Author:

Salmani Mehran1ORCID,Ghafouri Saeid2ORCID,Sanaee Alireza2ORCID,Razavi Kamran3ORCID,Mühlhäuser Max3ORCID,Doyle Joseph2ORCID,Jamshidi Pooyan4ORCID,Sharifi Mohsen1ORCID

Affiliation:

1. Iran University of Science and Technology, Tehran, Iran

2. Queen Mary University of London, London, United Kingdom

3. Technical University of Darmstadt, Darmstadt, Germany

4. University of South Carolina, Columbia, USA

Publisher

ACM

Reference38 articles.

1. 2022. GPU virtualization in K8S: challenges and state of the art. https://www.arrikto.com/blog/gpu-virtualization-in-k8s-challenges-and-state-of-the-art/. (Nov 2022 ). 2022. GPU virtualization in K8S: challenges and state of the art. https://www.arrikto.com/blog/gpu-virtualization-in-k8s-challenges-and-state-of-the-art/. (Nov 2022).

2. 2022. Horizontal Pod autoscaling. (Jun 2022 ). https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/ 2022. Horizontal Pod autoscaling. (Jun 2022). https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/

3. 2022. Inter-op parallelism threads. (2022). https://www.tensorflow.org/api_docs/python/tf/config/threading/set_inter_op_parallelism_threads 2022. Inter-op parallelism threads. (2022). https://www.tensorflow.org/api_docs/python/tf/config/threading/set_inter_op_parallelism_threads

4. 2022. Intra-op parallelism threads. (2022). https://www.tensorflow.org/api_docs/python/tf/config/threading/set_intra_op_parallelism_threads 2022. Intra-op parallelism threads. (2022). https://www.tensorflow.org/api_docs/python/tf/config/threading/set_intra_op_parallelism_threads

5. 2022. TorchServe parallelism threads. (2022). https://pytorch.org/docs/stable/notes/cpu_threading_torchscript_inference.html 2022. TorchServe parallelism threads. (2022). https://pytorch.org/docs/stable/notes/cpu_threading_torchscript_inference.html

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