e-space
Manchester Metropolitan University's Research Repository

    Items where Author is "Akintoye, Samson B"

    Up a level
    Export as [feed] Atom [feed] RSS
    Group by: Item Type | No Grouping
    Number of items: 4.

    Kavarakuntla, Tulasi, Han, Liangxiu ORCID logoORCID: https://orcid.org/0000-0003-2491-7473, Lloyd, Huw ORCID logoORCID: https://orcid.org/0000-0001-6537-4036, Latham, Annabel ORCID logoORCID: https://orcid.org/0000-0002-8410-7950, Kleerekoper, Anthony ORCID logoORCID: https://orcid.org/0000-0002-3621-8568 and Akintoye, Samson B ORCID logoORCID: https://orcid.org/0000-0001-5058-433X (2024) A generic performance model for deep learning in a distributed environment. IEEE Access, 12. pp. 8207-8219. ISSN 2169-3536

    Akintoye, Samson B, Han, Liangxiu ORCID logoORCID: https://orcid.org/0000-0003-2491-7473, Lloyd, Huw ORCID logoORCID: https://orcid.org/0000-0001-6537-4036, Zhang, Xin ORCID logoORCID: https://orcid.org/0000-0001-7844-593X, Dancey, Darren, Chen, Haoming and Zhang, Daoqiang (2023) Layer-wise partitioning and merging for efficient and scalable deep learning. Future Generation Computer Systems, 149. pp. 432-444. ISSN 0167-739X

    Akintoye, Samson B, Han, Liangxiu ORCID logoORCID: https://orcid.org/0000-0003-2491-7473, Zhang, Xin ORCID logoORCID: https://orcid.org/0000-0001-7844-593X, Chen, Haoming and Zhang, Daoqiang (2022) A hybrid parallelization approach for distributed and scalable deep learning. IEEE Access, 10. pp. 77950-77961. ISSN 2169-3536

    Kavarakuntla, Tulasi, Han, Liangxiu ORCID logoORCID: https://orcid.org/0000-0003-2491-7473, Lloyd, huw ORCID logoORCID: https://orcid.org/0000-0001-6537-4036, Latham, Annabel ORCID logoORCID: https://orcid.org/0000-0002-8410-7950 and Akintoye, Samson B (2022) Performance Analysis of Distributed Deep Learning Frameworks in a Multi-GPU Environment. In: 2021 20th International Conference on Ubiquitous Computing and Communications, 20 December 2021 - 22 December 2021, London, UK.

    This list was generated on Sat Dec 21 06:36:14 2024 GMT.