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Exploiting CXL-based Memory for Distributed Deep Learning., , , and . ICPP, page 19:1-19:11. ACM, (2022)Optimizing the Training of Co-Located Deep Learning Models Using Cache-Aware Staggering., , and . HiPC, page 246-255. IEEE, (2023)Two-echelon logistics delivery and pickup network optimization based on integrated cooperation and transportation fleet sharing., , , , , , and . Expert Syst. Appl., (2018)On Realizing Efficient Deep Learning Using Serverless Computing., , , and . CCGRID, page 220-229. IEEE, (2022)Canary: Fault-Tolerant FaaS for Stateful Time-Sensitive Applications., , and . SC, page 41:1-41:16. IEEE, (2022)Collaboration and transportation resource sharing in multiple centers vehicle routing optimization with delivery and pickup., , , , , and . Knowl. Based Syst., (2018)Asynchronous Multi-Level Checkpointing: An Enabler of Reproducibility using Checkpoint History Analytics., , , and . SC Workshops, page 1748-1756. ACM, (2023)PredictDDL: Reusable Workload Performance Prediction for Distributed Deep Learning., , , and . CLUSTER, page 13-24. IEEE, (2023)Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP., , , , , , , , , and 2 other author(s). e-Science, page 1-7. IEEE, (2023)