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Whale: A Unified Distributed Training Framework., , , , , и . CoRR, (2020)Whale: Efficient Giant Model Training over Heterogeneous GPUs., , , , , , , , , и 2 other автор(ы). USENIX ATC, стр. 673-688. USENIX Association, (2022)EasyScale: Accuracy-consistent Elastic Training for Deep Learning., , , , , , , , , и 2 other автор(ы). CoRR, (2022)EasyScale: Elastic Training with Consistent Accuracy and Improved Utilization on GPUs., , , , , , , , , и 2 other автор(ы). SC, стр. 55:1-55:14. ACM, (2023)BigDL: A Distributed Deep Learning Framework for Big Data., , , , , , , , , и 10 other автор(ы). SoCC, стр. 50-60. ACM, (2019)M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining., , , , , , , , , и 2 other автор(ы). CoRR, (2021)EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications., , , , , , , , , и 1 other автор(ы). CIKM, стр. 4075-4084. ACM, (2021)Target-Oriented Keyword Search over Temporal Databases., , и . DEXA (1), том 9827 из Lecture Notes in Computer Science, стр. 3-19. Springer, (2016)Exploring Sparse Expert Models and Beyond., , , , , , , , , и 5 other автор(ы). CoRR, (2021)TAP: Accelerating Large-Scale DNN Training Through Tensor Automatic Parallelisation., , , , , , , , и . CoRR, (2023)