ALSRAC: Approximate Logic Synthesis by Resubstitution with Approximate Care Set
Chang Meng, Weikang Qian, Alan Mishchenko
2020年份
38被引次数
2顶会引用
摘要
Approximate computing is an emerging design technique for error-resilient applications. It improves circuit area, power, and delay at the cost of introducing some errors. Approximate logic synthesis (ALS) is an automatic process to produce approximate circuits. This paper proposes approximate resubstitution with approximate care set and uses it to build a simulation-based ALS flow. The experimental results demonstrate that the proposed method saves 7%-18% area compared to state-of-the-art methods. The code of ALSRAC is made open-source.
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引用它的顶会 Paper2
- SEALS: sensitivity-driven efficient approximate logic synthesisChang Meng, Xuan Wang, Jiajun Sun, Sijun Tao 等DAC 2022 · 被引用 11 次
- Rank-based Multi-objective Approximate Logic Synthesis via Monte Carlo Tree SearchYuyang Ye, Xiangfei Hu, Yuchen Liu, Peng Xu 等DAC 2025 · 被引用 1 次
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