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Automating System Configuration of Distributed Machine Learning.

, , , , , , , , , , , и . ICDCS, стр. 2057-2067. IEEE, (2019)

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Gyeong-Man Kim

Gyeong-Ho Gang

Gyeong-Seok Kim

Yu-Ting Yu

Gyeong Soon Im

 

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Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning., , , и . NeurIPS, (2020)Improving the expressiveness of deep learning frameworks with recursion., , , , и . EuroSys, стр. 19:1-19:13. ACM, (2018)Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks., , , , , , , , и . EuroSys, стр. 43:1-43:15. ACM, (2019)Automating System Configuration of Distributed Machine Learning., , , , , , , , , и 2 other автор(ы). ICDCS, стр. 2057-2067. IEEE, (2019)A Tensor Compiler for Unified Machine Learning Prediction Serving., , , , , , и . OSDI, стр. 899-917. USENIX Association, (2020)BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 16639-16653. PMLR, (2023)JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs., , , , , и . NSDI, стр. 453-468. USENIX Association, (2019)Orca: A Distributed Serving System for Transformer-Based Generative Models., , , , и . OSDI, стр. 521-538. USENIX Association, (2022)Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs., , , , , , и . NeurIPS, стр. 1468-1480. (2021)