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CD-Sched: An Automated Scheduling Framework for Accelerating Neural Network Training on Shared Memory CPU-DSP Platforms.

, , and . PCCNT, page 41:1-41:6. ACM, (2023)

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Efficient DVFS to Prevent Hard Faults for Many-Core Architectures., , and . ICT-EurAsia, volume 8407 of Lecture Notes in Computer Science, page 674-679. Springer, (2014)Rethinking the Distributed DNN Training Cluster Design from the Cost-effectiveness View., , , , and . HPCC/DSS/SmartCity/DependSys, page 730-731. IEEE, (2023)Communication Analysis for Multidimensional Parallel Training of Large-scale DNN Models., , , and . HPCC/DSS/SmartCity/DependSys, page 728-729. IEEE, (2023)Accurate and Efficient Fine-Tuning of Quantized Large Language Models Through Optimal Balance., , , , and . CoRR, (2024)A Multidimensional Communication Scheduling Method for Hybrid Parallel DNN Training., , , , , and . IEEE Trans. Parallel Distributed Syst., 35 (8): 1415-1428 (August 2024)A Two-Tiered Defence of Techniques to Prevent SQL Injection Attacks., , , , and . IMIS, volume 612 of Advances in Intelligent Systems and Computing, page 286-295. Springer, (2017)HPDL: Towards a General Framework for High-performance Distributed Deep Learning., , , , , , and . ICDCS, page 1742-1753. IEEE, (2019)ADMMiRNN: Training RNN with Stable Convergence via an Efficient ADMM Approach., , , , , , and . ECML/PKDD (2), volume 12458 of Lecture Notes in Computer Science, page 3-18. Springer, (2020)Accelerate Graph Neural Network Training by Reusing Batch Data on GPUs., , , and . IPCCC, page 1-8. IEEE, (2021)Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training., , , , , , , and . CoRR, (2023)