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MPCA SGD - A Method for Distributed Training of Deep Learning Models on Spark., , , and . IEEE Trans. Parallel Distributed Syst., 29 (11): 2540-2556 (2018)A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models., , , , , , and . CoRR, (2022)Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference., , , , , , , , , and 2 other author(s). RecSys, page 534-537. ACM, (2022)Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference., , , , , , , , , and 2 other author(s). CoRR, (2022)The detection, tracking, and temporal action localisation of swimmers for automated analysis., , , , , , and . Neural Comput. Appl., 33 (12): 7205-7223 (2021)Trace formulae and singular values of resolvent power differences of self-adjoint elliptic operators., , and . J. Lond. Math. Soc., 88 (2): 319-337 (2013)Eigenvalue enclosures and exclosures for non-self-adjoint problems in hydrodynamics., , , , and . LMS J. Comput. Math., (2010)Distributed Training of Deep Learning Models: A Taxonomic Perspective., , , and . IEEE Trans. Parallel Distributed Syst., 31 (12): 2802-2818 (2020)A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models., , , , , , and . RecSys, page 408-419. ACM, (2022)Improvements to the theoretical estimates of the Schwarz preconditioner with Δ-GenEO coarse space for the indefinite Helmholtz problem., , , and . CoRR, (2024)