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Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference., , , , , and . MLSys, mlsys.org, (2020)MegaBlocks: Efficient Sparse Training with Mixture-of-Experts., , , and . MLSys, mlsys.org, (2023)An Empirical Study of Mamba-based Language Models., , , , , , , , , and 6 other author(s). CoRR, (2024)Weld: Rethinking the Interface Between Data-Intensive Applications., , , , , , , , , and . CoRR, (2017)Resource-efficient execution of deep learning computations.. Stanford University, USA, (2021)Piper: Multidimensional Planner for DNN Parallelization., , and . NeurIPS, page 24829-24840. (2021)Memory-Efficient Pipeline-Parallel DNN Training., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 7937-7947. PMLR, (2021)Offload Annotations: Bringing Heterogeneous Computing to Existing Libraries and Workloads., , , and . USENIX ATC, page 293-306. USENIX Association, (2020)Evaluating End-to-End Optimization for Data Analytics Applications in Weld., , , , , , , , , and 2 other author(s). Proc. VLDB Endow., 11 (9): 1002-1015 (2018)Efficient large-scale language model training on GPU clusters using megatron-LM., , , , , , , , , and 2 other author(s). SC, page 58. ACM, (2021)