2024 ICCAD CAD Contest Problem A: Reinforcement Logic Optimization for a General Cost Function

Traditionally, logic synthesis/optimization metric would be majorly determined by PPA (power, performance, area). However, as the technology node shrinks and the design process becomes extremely complicated, iterative optimization flow and local re-synthesis might be invoked to optimize for more variant purposes. It is necessary to have a methodology which is not just a simple cost-function-based algorithm but also can optimize and legalize a design according to a more complex cost estimator.

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Published
2024-10-27
DOI
https://doi.org/10.1145/3676536.3689910
Citations
1
Primary Topic
Auction Theory and Applications
Type
article
Field-Weighted Citation Impact
0.49
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article

2024 ICCAD CAD Contest Problem A: Reinforcement Logic Optimization for a General Cost Function

Kwangsoo Han, Chi-An Wu, Chung-Han Chou, Kuan-Hua Tu et al.
1 citations
Auction Theory and Applications
0.49
article

2024 ICCAD CAD Contest Problem A: Reinforcement Logic Optimization for a General Cost Function

Kwangsoo Han, Chi-An Wu, Chung-Han Chou, Kuan-Hua Tu, Zhuo Li, C T Hsu
article en
1 citations

Abstract

Traditionally, logic synthesis/optimization metric would be majorly determined by PPA (power, performance, area). However, as the technology node shrinks and the design process becomes extremely complicated, iterative optimization flow and local re-synthesis might be invoked to optimize for more variant purposes. It is necessary to have a methodology which is not just a simple cost-function-based algorithm but also can optimize and legalize a design according to a more complex cost estimator.

Cadence Design Systems (United States) (US)
Openalex Percentile: Top 26%
Auction Theory and Applications
0.49
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