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Beyond Data and Model Parallelism for Deep Neural Networks., , and . CoRR, (2018)Improving the Accuracy, Scalability, and Performance of Graph Neural Networks with Roc., , , , and . MLSys, mlsys.org, (2020)Redundancy-Free Computation Graphs for Graph Neural Networks., , , , , and . CoRR, (2019)Optimizing Mixture of Experts using Dynamic Recompilations., , and . CoRR, (2022)OLLIE: Derivation-based Tensor Program Optimizer., , , , , , , , , and . CoRR, (2022)Quark: A Gradient-Free Quantum Learning Framework for Classification Tasks., , , and . CoRR, (2022)TOD: GPU-accelerated Outlier Detection via Tensor Operations., , and . Proc. VLDB Endow., 16 (3): 546-560 (2022)SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training., , , , and . Proc. VLDB Endow., 16 (9): 2354-2363 (2023)TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs., , , , , , , and . NSDI, page 739-767. USENIX Association, (2023)Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads., , , , , , , , , and 1 other author(s). OSDI, page 495-514. USENIX Association, (2021)