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  1. 2020
  2. Published

    Autonomous State-Management Support in Distributed Self-adaptive Systems

    Rodrigues Filho, R. & Porter, B., 15/09/2020, 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C). IEEE, p. 176-181 6 p.

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

  3. Published

    Horus: An Interference-aware Resource Manager for Deep Learning Systems

    Yeung, G., Borowiec, D., Yang, R., Friday, A., Harper, R. H. R. & Garraghan, P., 29/09/2020, Algorithms and Architectures for Parallel Processing. ICA3PP 2020. Qiu, M. (ed.). Springer, p. 492-508 17 p. (Lecture Notes in Computer Science; vol. 12453).

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

  4. Published

    Using data centre waste heat to dry coffee whilst supplying small-scale farmers with ICT: a case study based on a novel systems-based approach

    Terenius, P., Garraghan, P. & Harper, R. H. R., 21/11/2020, p. 1-17. 17 p.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper

  5. Published

    Efficient deep neural network inference for embedded systems: A mixture of experts approach

    Taylor, B., 22/11/2020, Lancaster University. 172 p.

    Research output: Thesis › Doctoral Thesis

  6. 2021
  7. Published

    Old-growth forest loss and secondary forest recovery across Amazonian countries

    Smith, C. C., Healey, J. R., De Berenguer Cesar, E., Young, P., Taylor, B., Elias, F., Espirito-Santo, F. & Barlow, J., 4/08/2021, In: Environmental Research Letters. 16, 8, 14 p., 085009.

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

  8. 2022
  9. Published

    Horus: Interference-Aware and Prediction-Based Scheduling in Deep Learning Systems

    Yeung, G-F., Borowiec, D., Yang, R., Friday, A., Harper, R. H. R. & Garraghan, P., 31/01/2022, In: IEEE Transactions on Parallel and Distributed Systems. 33, 1, p. 88-100 13 p., 21015055.

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

  10. E-pub ahead of print

    Hatch: Self-Distributing Systems for Data Centers

    Rodrigues Filho, R. & Porter, B., 18/02/2022, (E-pub ahead of print) In: Future Generation Computer Systems. 132, p. 80-92 13 p.

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

  11. 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

  12. 2023
  13. Published

    It is too hot in here! A performance, energy and heat aware scheduler for Asymmetric multiprocessing processors in embedded systems.

    Wolff, W., 2023, Lancaster University. 144 p.

    Research output: Thesis › Doctoral Thesis

  14. 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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