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ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning., , и . MICRO, стр. 622-636. IEEE, (2020)Training Recipe for N: M Structured Sparsity with Decaying Pruning Mask., , , , , и . CoRR, (2022)E3: A HW/SW Co-design Neuroevolution Platform for Autonomous Learning in Edge Device., и . ISPASS, стр. 288-298. IEEE, (2021)Domain-aware Genetic Algorithms for Hardware and Mapping Optimization for Efficient DNN Acceleration.. Georgia Institute of Technology, Atlanta, GA, USA, (2022)base-search.net (ftgeorgiatech:oai:smartech.gatech.edu:1853/67200).FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks., , , , и . ASPLOS (2), стр. 295-310. ACM, (2023)DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for Layer Fusion in DNN Accelerators., , и . CoRR, (2022)Reinforcement learning based interconnection routing for adaptive traffic optimization., , , , и . NOCS, стр. 17:1-17:2. ACM, (2019)GAMMA: Automating the HW Mapping of DNN Models on Accelerators via Genetic Algorithm., и . ICCAD, стр. 44:1-44:9. IEEE, (2020)Demystifying Map Space Exploration for NPUs., , , и . IISWC, стр. 269-281. IEEE, (2022)NonGEMM Bench: Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads., , , и . CoRR, (2024)