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Scheduling Elastic Machine Learning Process Through Containers
Coplanificación de Procesos Maleables de Aprendizaje Automático Mediante Contenedores
DOI:
https://doi.org/10.24215/16666038.23.e17Keywords:
HPC, Resource Scheduling, Containers, Machine Learning, TensorflowDownloads
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References
Leandro Libutti, Francisco D. Igual, Luis Pinuel, Laura De Giusti, Marcelo Naiouf. Benchmarking performance and power of USB accelerators for inference with MLPerf. 2nd Workshop Accelerated Mach.Learn.(AccML), pp. 1-15. 2020.
Leandro Libutti, Francisco D. Igual, Luis Pinuel, Laura De Giusti, Marcelo Naiouf. Towards a Malleable Tensorflow Implementation. In: Rucci, E., Naiouf, M., Chichizola, F., De Giusti, L. (eds) Cloud Computing, Big Data & Emerging Topics. JCC-BD&ET 2020. Communications in Computer and Information Science, vol 1291. Springer, Cham. https://doi.org/10.1007/978-3-030-61218-4_3
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Published
2023-10-25
Issue
Section
Thesis Overview
License
Copyright (c) 2023 Leandro Ariel Libutti
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
How to Cite
[1]
“Scheduling Elastic Machine Learning Process Through Containers: Coplanificación de Procesos Maleables de Aprendizaje Automático Mediante Contenedores”, JCS&T, vol. 23, no. 2, p. e17, Oct. 2023, doi: 10.24215/16666038.23.e17.
