Leveraging Intra-Function Parallelism in Serverless Machine Learning

Author:

Predoaia Ionut1ORCID,García-López Pedro2ORCID

Affiliation:

1. University of York, York, United Kingdom

2. Universitat Rovira i Virgili, Tarragona, Spain

Publisher

ACM

Reference16 articles.

1. Transparent serverless execution of Python multiprocessing applications

2. Amine Barrak , Fabio Petrillo , and Fehmi Jaafar . 2022. Serverless on Machine Learning: A Systematic Mapping Study . IEEE Access ( 2022 ). Amine Barrak, Fabio Petrillo, and Fehmi Jaafar. 2022. Serverless on Machine Learning: A Systematic Mapping Study. IEEE Access (2022).

3. Joao Carreira , Pedro Fonseca , Alexey Tumanov , Andrew Zhang , and Randy Katz . 2018 . A Case for Serverless Machine Learning . In Workshop on Systems for ML and Open Source Software at NeurIPS , Vol. 2018 . 2--8. Joao Carreira, Pedro Fonseca, Alexey Tumanov, Andrew Zhang, and Randy Katz. 2018. A Case for Serverless Machine Learning. In Workshop on Systems for ML and Open Source Software at NeurIPS, Vol. 2018. 2--8.

4. Cirrus

5. Germán T. Eizaguirre and Marc Sánchez-Artigas . 2023 . A Seer Knows Best: Auto-tuned Object Storage Shuffling for Serverless Analytics. J. Parallel and Distrib. Comput . (2023), 104763. Germán T. Eizaguirre and Marc Sánchez-Artigas. 2023. A Seer Knows Best: Auto-tuned Object Storage Shuffling for Serverless Analytics. J. Parallel and Distrib. Comput. (2023), 104763.

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