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Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems., , , and . KDD, page 1355-1364. ACM, (2015)HyperDrive: exploring hyperparameters with POP scheduling., , , , and . Middleware, page 1-13. ACM, (2017)BLOOM: A 176B-Parameter Open-Access Multilingual Language Model., , , , , , , , , and 39 other author(s). CoRR, (2022)FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design., , , , , , , , , and 3 other author(s). CoRR, (2024)DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales., , , , , , , , , and 9 other author(s). CoRR, (2023)Ditto - A System for Opportunistic Caching in Multi-hop Wireless Mesh Networks, , , , and . \ ACM Mobicom, (2008)ZeRO: Memory Optimization Towards Training A Trillion Parameter Models., , , and . CoRR, (2019)SHARP: An Adaptable, Energy-Efficient Accelerator for Recurrent Neural Networks., , , , , and . ACM Trans. Embed. Comput. Syst., 22 (2): 30:1-30:23 (March 2023)Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding., , , , , , , and . CoRR, (2024)A Novel Tensor-Expert Hybrid Parallelism Approach to Scale Mixture-of-Experts Training., , , , , and . CoRR, (2023)