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2020 – today
- 2024
[j3]Tulasi Kavarakuntla, Liangxiu Han
, Huw Lloyd, Annabel Latham, Anthony Kleerekoper, Samson B. Akintoye:
A Generic Performance Model for Deep Learning in a Distributed Environment. IEEE Access 12: 8207-8219 (2024)- 2023
- [j2]Samson B. Akintoye, Liangxiu Han, Huw Lloyd, X. Zhang, Darren Dancey, Haoming Chen, Daoqiang Zhang:
Layer-wise partitioning and merging for efficient and scalable deep learning. Future Gener. Comput. Syst. 149: 432-444 (2023) - [i3]Tulasi Kavarakuntla, Liangxiu Han, Huw Lloyd, Annabel Latham, Anthony Kleerekoper, Samson B. Akintoye:
A Generic Performance Model for Deep Learning in a Distributed Environment. CoRR abs/2305.11665 (2023) - 2022
- [j1]Samson B. Akintoye, Liangxiu Han, Xin Zhang, Haoming Chen, Daoqiang Zhang:
A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning. IEEE Access 10: 77950-77961 (2022) - [i2]Samson B. Akintoye, Liangxiu Han, Huw Lloyd, Xin Zhang, Darren Dancey, Haoming Chen, Daoqiang Zhang:
Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning. CoRR abs/2207.11019 (2022) - 2021
- [i1]Samson B. Akintoye, Liangxiu Han, Xin Zhang, Haoming Chen, Daoqiang Zhang:
A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning. CoRR abs/2104.05035 (2021)
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