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Timeloop: A Systematic Approach to DNN Accelerator Evaluation., , , , , , , , , и . ISPASS, стр. 304-315. IEEE, (2019)From RTL to CUDA: A GPU Acceleration Flow for RTL Simulation with Batch Stimulus., , , , и . ICPP, стр. 88:1-88:12. ACM, (2022)Generative self-supervised learning for gate sizing: invited., , , , , и . DAC, стр. 1331-1334. ACM, (2022)AutoCRAFT: Layout Automation for Custom Circuits in Advanced FinFET Technologies., , , , , , , , , и . ISPD, стр. 175-183. ACM, (2022)Accelerating Chip Design with Machine Learning.. MLCAD, стр. 33. ACM, (2020)FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning., , , , , , , , , и . ASP-DAC, стр. 19-25. IEEE, (2020)GPU design in a power-limited era.. MSE, стр. 68. IEEE Computer Society, (2013)MAVIREC: ML-Aided Vectored IR-DropEstimation and Classification., , , , , и . CoRR, (2020)A 17-95.6 TOPS/W Deep Learning Inference Accelerator with Per-Vector Scaled 4-bit Quantization for Transformers in 5nm., , , , , , , и . VLSI Technology and Circuits, стр. 16-17. IEEE, (2022)Optimizing VLSI Implementation with Reinforcement Learning - ICCAD Special Session Paper., , , , , , , и . ICCAD, стр. 1-6. IEEE, (2021)