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Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference., , , , , и . MLSys, mlsys.org, (2020)MegaBlocks: Efficient Sparse Training with Mixture-of-Experts., , , и . MLSys, mlsys.org, (2023)An Empirical Study of Mamba-based Language Models., , , , , , , , , и 6 other автор(ы). CoRR, (2024)Holistic Evaluation of Language Models., , , , , , , , , и 40 other автор(ы). Trans. Mach. Learn. Res., (2023)Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads., , , , и . OSDI, стр. 481-498. USENIX Association, (2020)Kerveros: Efficient and Scalable Cloud Admission Control., , , , , , , , , и 1 other автор(ы). OSDI, стр. 227-245. USENIX Association, (2023)Evaluating End-to-End Optimization for Data Analytics Applications in Weld., , , , , , , , , и 2 other автор(ы). Proc. VLDB Endow., 11 (9): 1002-1015 (2018)Efficient large-scale language model training on GPU clusters using megatron-LM., , , , , , , , , и 2 other автор(ы). SC, стр. 58. ACM, (2021)MLPerf Training Benchmark., , , , , , , , , и 22 other автор(ы). MLSys, mlsys.org, (2020)Nemotron-4 340B Technical Report., , , , , , , , , и 71 other автор(ы). CoRR, (2024)