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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)LSTM-Sharp: An Adaptable, Energy-Efficient Hardware Accelerator for Long Short-Term Memory., , , , , and . CoRR, (2019)Improving Device Driver Reliability through Decoupled Dynamic Binary Analyses.. Carnegie Mellon University, USA, (2013)DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters., , , and . KDD, page 3505-3506. ACM, (2020)HyperDrive: exploring hyperparameters with POP scheduling., , , , and . Middleware, page 1-13. ACM, (2017)Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems., , , and . KDD, page 1355-1364. ACM, (2015)Ditto - A System for Opportunistic Caching in Multi-hop Wireless Mesh Networks, , , , and . \ ACM Mobicom, (2008)