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A deep learning methodology to proliferate golden signoff timing.

, , , and . DATE, page 1-6. European Design and Automation Association, (2014)

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Redefining the Role of the CPU in the Era of CPU-GPU Integration., , , , and . IEEE Micro, 32 (6): 4-16 (2012)BufFormer: A Generative ML Framework for Scalable Buffering., , , , and . ASP-DAC, page 264-270. ACM, (2023)Machine Learning-Enabled High-Frequency Low-Power Digital Design Implementation At Advanced Process Nodes., and . ISPD, page 83-90. ACM, (2021)Generative self-supervised learning for gate sizing: invited., , , , , and . DAC, page 1331-1334. ACM, (2022)Optimal reliability-constrained overdrive frequency selection in multicore systems., and . ISQED, page 300-308. IEEE, (2014)A Fast Learning-Driven Signoff Power Optimization Framework., , , and . ICCAD, page 161:1-161:9. IEEE, (2020)TransSizer: A Novel Transformer-Based Fast Gate Sizer., , , , , and . ICCAD, page 74:1-74:9. ACM, (2022)Incremental multiple-scan chain ordering for ECO flip-flop insertion., , and . ICCAD, page 705-712. IEEE, (2013)The ITRS MPU and SOC system drivers: Calibration and implications for design-based equivalent scaling in the roadmap., , , and . ICCD, page 153-160. IEEE Computer Society, (2014)RL-Sizer: VLSI Gate Sizing for Timing Optimization using Deep Reinforcement Learning., , , and . DAC, page 733-738. IEEE, (2021)