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Speculative Symbolic Graph Execution of Imperative Deep Learning Programs.

, , , , , , and . ACM SIGOPS Oper. Syst. Rev., 53 (1): 26-33 (2019)

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Accelerating Multi-Model Inference by Merging DNNs of Different Weights., , , , and . CoRR, (2020)Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs., , , , , , and . CoRR, (2022)A Tensor Compiler for Unified Machine Learning Prediction Serving., , , , , , and . OSDI, page 899-917. USENIX Association, (2020)BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 16639-16653. PMLR, (2023)Stage-based Hyper-parameter Optimization for Deep Learning., , , , , , and . CoRR, (2019)Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks., , , , , , , , and . EuroSys, page 43:1-43:15. ACM, (2019)JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs., , , , , and . CoRR, (2018)Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning., , , and . NeurIPS, (2020)Improving the expressiveness of deep learning frameworks with recursion., , , , and . EuroSys, page 19:1-19:13. ACM, (2018)Automating System Configuration of Distributed Machine Learning., , , , , , , , , and 2 other author(s). ICDCS, page 2057-2067. IEEE, (2019)