Mystic: Predictive Scheduling for GPU Based Cloud Servers Using Machine Learning

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Yash Ukidave,Xiangyu Li,David R. Kaeli

IPDPS

published 1st of January, 2016

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HuggingPeers ID: ID hpp-U1mbqvLeqPP
Publication: IPDPS
Published: 1st of January, 2016

Provenance 1

Source	ID	Citations
DBLP	conf/ipps/UkidaveLK16	—

Cite this paper

@article{ukidave2016,
  title = {Mystic: Predictive Scheduling for GPU Based Cloud Servers Using Machine Learning},
  author = {Yash Ukidave and Xiangyu Li and David R. Kaeli},
  journal = {IPDPS},
  year = {2016},
  month = {Jan},
  doi = {10.1109/ipdps.2016.73},
  url = {https://doi.org/10.1109/ipdps.2016.73},
}

Yash Ukidave et al. (2016). Mystic: Predictive Scheduling for GPU Based Cloud Servers Using Machine Learning. IPDPS. https://doi.org/10.1109/ipdps.2016.73

Yash Ukidave, et al.. "Mystic: Predictive Scheduling for GPU Based Cloud Servers Using Machine Learning." IPDPS, 2016, https://doi.org/10.1109/ipdps.2016.73.

Yash Ukidave, et al.. "Mystic: Predictive Scheduling for GPU Based Cloud Servers Using Machine Learning." IPDPS (2016). https://doi.org/10.1109/ipdps.2016.73

Yash Ukidave et al., 2016. Mystic: Predictive Scheduling for GPU Based Cloud Servers Using Machine Learning. IPDPS. Available at: <https://doi.org/10.1109/ipdps.2016.73>.

TY  - JOUR
TI  - Mystic: Predictive Scheduling for GPU Based Cloud Servers Using Machine Learning
AU  - Yash Ukidave
AU  - Xiangyu Li
AU  - David R. Kaeli
PY  - 2016
JO  - IPDPS
DO  - 10.1109/ipdps.2016.73
UR  - https://doi.org/10.1109/ipdps.2016.73
ER  -