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ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks., , , , и . CoRR, (2018)A Computational Stack for Cross-Domain Acceleration., , , , , , , и . HPCA, стр. 54-70. IEEE, (2021)Mixed-Signal Charge-Domain Acceleration of Deep Neural Networks through Interleaved Bit-Partitioned Arithmetic., , , , , , , и . PACT, стр. 399-411. ACM, (2020)Polymorphic Compilation for Cross-Domain Acceleration. University of California, San Diego, USA, (2023)Domain-Specific Computational Storage for Serverless Computing., , , , , , , , , и 1 other автор(ы). CoRR, (2023)VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis., , , , , , , , , и 6 other автор(ы). ICCAD, стр. 1-7. IEEE, (2021)In-Storage Domain-Specific Acceleration for Serverless Computing., , , , , , , , , и 1 other автор(ы). ASPLOS (2), стр. 530-548. ACM, (2024)Tandem Processor: Grappling with Emerging Operators in Neural Networks., , , , , , , , , и 2 other автор(ы). ASPLOS (2), стр. 1165-1182. ACM, (2024)Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms., , , , , , , , , и 1 other автор(ы). MLCAD, стр. 119-126. ACM / IEEE, (2022)MESA: Microarchitecture Extensions for Spatial Architecture Generation., , , , , , , , , и . ISCA, стр. 49:1-49:14. ACM, (2023)