In this paper, we propose a novel bivariate gradient-based wirelength model, namely BiG, which directly derives a gradient with any bivariate smooth maximum ( ...
In this paper, we propose a novel bivariate gradient-based wirelength model, namely BiG, which directly derives a gradient with any bivariate smooth maximum ( ...
Jun 2, 2019 · BiG: A Bivariate Gradient-Based Wirelength Model for Analytical. Circuit Placement *. Fan-Keng Sunl, and Yao-Wen Changl'2. 1Department of ...
BiG: A Bivariate Gradient-Based Wirelength Model for Analytical Circuit Placement. F. Sun, and Y. Chang. DAC, page 118. ACM, (2019 ).
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Bibliographic details on BiG: A Bivariate Gradient-Based Wirelength Model for Analytical Circuit Placement.
The differentiability of wirelength models is very critical to gradient-based numerical optimization. Most previous works approximate the non-smooth half- ...
BiG: A bivariate gradient-based wirelength model for analytical circuit placement. FK Sun, YW Chang. Proceedings of the 56th Annual Design Automation Conference ...
“BiG: A bivariate gradient-based wirelength model for analytical circuit placement”. In: ACM/IEEE Design Automation Conference (DAC). 2019, pp. 1–6. [SDJ91].
BiG: A Bivariate Gradient-Based Wirelength Model for Analytical Circuit Placement. In Proc. of ACM/IEEE Design Automation Conference (DAC), 2019. Chen-Hao ...
In this paper, we propose a novel bivariate gradient-based wirelength model, namely BiG, which directly derives a gradient with any bivariate smooth maximum ( ...