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Mar 20, 2024 · This work proposes an automated timing-driven technology mapping approximation framework based on reinforcement learning (RL).
Aug 23, 2024 · This work proposes an automated timing-driven technology mapping approximation framework based on reinforcement learning (RL). The framework ...
This work proposes an automated timing-driven technology map- ping approximation framework based on reinforcement learning. (RL). The framework uses path ...
This work proposes an automated timing-driven technology mapping approximation framework based on reinforcement learning (RL). The framework uses path-weighted ...
This work proposes an automated timing-driven technology mapping approximation framework based on reinforcement learning (RL). The framework uses path-weighted ...
As the transistor technology nodes shrink into the nano-scales, timing guardbands caused by aging effects and process variations continue to increase.
合著作者 ; Timing-Driven Technology Mapping Approximation Based on Reinforcement Learning. Y Ye, T Chen, Y Gao, H Yan, B Yu, L Shi. IEEE Transactions on Computer ...
[J19] Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi, "Timing-driven Technology Mapping Approximation Based on Reinforcement Learning", IEEE ...
Q-ALS, a novel framework for ALS with focus on the technology mapping phase, incorporates reinforcement learning and utilizes Boolean difference calculus to ...
Jul 25, 2024 · Abstract. Technology mapping involves mapping logical circuits to a library of cells. Traditionally, the full technology library is used, ...