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  1. 2022
  2. Forthcoming

    Trimmer: Cost-Efficient Deep Learning Auto-tuning for Cloud Datacenters

    Borowiec, D., Yeung, G-F., Friday, A., Harper, R. H. R. & Garraghan, P., 11/05/2022, (Accepted/In press) IEEE International Conference on Cloud Computing. CLOUD 22. IEEE

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. 2023
  4. Published

    DOPpler: Parallel Measurement Infrastructure for Auto-tuning Deep Learning Tensor Programs

    Borowiec, D., Yeung, G-F., Friday, A., Harper, R. H. R. & Garraghan, P., 31/07/2023, In: IEEE Transactions on Parallel and Distributed Systems. 34, 7, p. 2208-2220 13 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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