DALS

Author:

Zhou Zhuangzhuang1,Yao Yue1,Huang Shuyang1,Su Sanbao1,Meng Chang1,Qian Weikang1

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Reference25 articles.

1. Approximation-aware rewriting of AIGs for error tolerant applications

2. T.H. Cormen C.E. Leiserson etal 2001. Introduction to algorithms. MIT Press. T.H. Cormen C.E. Leiserson et al. 2001. Introduction to algorithms . MIT Press.

3. Algorithm for solution of a problem of maximum flow in networks with power estimation;Dinic E.A.;Soviet Math,1970

4. J. Han and M. Orshansky. 2013. Approximate computing: An emerging paradigm for energy-efficient design. In ETS. 1--6. J. Han and M. Orshansky. 2013. Approximate computing: An emerging paradigm for energy-efficient design. In ETS . 1--6.

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. HEDALS: Highly Efficient Delay-Driven Approximate Logic Synthesis;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-11

2. AccALS: Accelerating Approximate Logic Synthesis by Selection of Multiple Local Approximate Changes;2023 60th ACM/IEEE Design Automation Conference (DAC);2023-07-09

3. VECBEE: A Versatile Efficiency–Accuracy Configurable Batch Error Estimation Method for Greedy Approximate Logic Synthesis;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2022-11

4. Probability-Based DSE of Approximated LUT-Based FPGA Designs;2022 IEEE 15th Dallas Circuit And System Conference (DCAS);2022-06-17

5. Quantified Satisfiability-based Simultaneous Selection of Multiple Local Approximate Changes under Maximum Error Bound;2022 IEEE International Symposium on Circuits and Systems (ISCAS);2022-05-28

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