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Training Recipe for N: M Structured Sparsity with Decaying Pruning Mask., , , , , and . CoRR, (2022)ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning., , and . MICRO, page 622-636. IEEE, (2020)E3: A HW/SW Co-design Neuroevolution Platform for Autonomous Learning in Edge Device., and . ISPASS, page 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., , , , and . ASPLOS (2), page 295-310. ACM, (2023)Reinforcement learning based interconnection routing for adaptive traffic optimization., , , , and . NOCS, page 17:1-17:2. ACM, (2019)DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for Layer Fusion in DNN Accelerators., , and . CoRR, (2022)GAMMA: Automating the HW Mapping of DNN Models on Accelerators via Genetic Algorithm., and . ICCAD, page 44:1-44:9. IEEE, (2020)Demystifying Map Space Exploration for NPUs., , , and . IISWC, page 269-281. IEEE, (2022)Dynamically Updatable Ternary Segmented Aging Bloom Filter for OpenFlow-Compliant Low-Power Packet Processing., , , and . IEEE/ACM Trans. Netw., 26 (2): 1004-1017 (2018)