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EasyScale: Elastic Training with Consistent Accuracy and Improved Utilization on GPUs., , , , , , , , , and 2 other author(s). SC, page 55:1-55:14. ACM, (2023)Whale: A Unified Distributed Training Framework., , , , , and . CoRR, (2020)EasyScale: Accuracy-consistent Elastic Training for Deep Learning., , , , , , , , , and 2 other author(s). CoRR, (2022)Whale: Efficient Giant Model Training over Heterogeneous GPUs., , , , , , , , , and 2 other author(s). USENIX ATC, page 673-688. USENIX Association, (2022)BigDL: A Distributed Deep Learning Framework for Big Data., , , , , , , , , and 10 other author(s). SoCC, page 50-60. ACM, (2019)M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining., , , , , , , , , and 2 other author(s). CoRR, (2021)Target-Oriented Keyword Search over Temporal Databases., , and . DEXA (1), volume 9827 of Lecture Notes in Computer Science, page 3-19. Springer, (2016)EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications., , , , , , , , , and 1 other author(s). CIKM, page 4075-4084. ACM, (2021)M6: A Chinese Multimodal Pretrainer., , , , , , , , , and 15 other author(s). CoRR, (2021)Exploring Sparse Expert Models and Beyond., , , , , , , , , and 5 other author(s). CoRR, (2021)