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Beyond Data and Model Parallelism for Deep Neural Networks., , и . CoRR, (2018)Redundancy-Free Computation Graphs for Graph Neural Networks., , , , , и . CoRR, (2019)OLLIE: Derivation-based Tensor Program Optimizer., , , , , , , , , и . CoRR, (2022)Quark: A Gradient-Free Quantum Learning Framework for Classification Tasks., , , и . CoRR, (2022)Optimizing Mixture of Experts using Dynamic Recompilations., , и . CoRR, (2022)SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training., , , , и . Proc. VLDB Endow., 16 (9): 2354-2363 (2023)TOD: GPU-accelerated Outlier Detection via Tensor Operations., , и . Proc. VLDB Endow., 16 (3): 546-560 (2022)TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs., , , , , , , и . NSDI, стр. 739-767. USENIX Association, (2023)Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads., , , , , , , , , и 1 other автор(ы). OSDI, стр. 495-514. USENIX Association, (2021)Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization., , , , , , , , , и 5 other автор(ы). OSDI, стр. 267-284. USENIX Association, (2022)