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Approximate Logic Synthesis: A Reinforcement Learning-Based Technology Mapping Approach.

, , and . ISQED, page 26-32. IEEE, (2019)

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kNN-CAM: A k-Nearest Neighbors-based Configurable Approximate Floating Point Multiplier., , , , , and . ISQED, page 1-7. IEEE, (2019)DigiQ: A Scalable Digital Controller for Quantum Computers Using SFQ Logic., , , , , , , and . HPCA, page 400-414. IEEE, (2022)qSeq: Full Algorithmic and Tool Support for Synthesizing Sequential Circuits in Superconducting SFQ Technology., and . DAC, page 133-138. IEEE, (2021)A Dynamic Programming-Based, Path Balancing Technology Mapping Algorithm Targeting Area Minimization., and . ICCAD, page 1-8. ACM, (2019)Balanced Factorization and Rewriting Algorithms for Synthesizing Single Flux Quantum Logic Circuits., and . ACM Great Lakes Symposium on VLSI, page 183-188. ACM, (2019)Energy-efficient, low-latency realization of neural networks through boolean logic minimization., , and . ASP-DAC, page 274-279. ACM, (2019)A Graph Partitioning Algorithm with Application in Synthesizing Single Flux Quantum Logic Circuits., and . CoRR, (2018)Deep-PowerX: a deep learning-based framework for low-power approximate logic synthesis., , , , and . ISLPED, page 73-78. ACM, (2020)SFQmap: A Technology Mapping Tool for Single Flux Quantum Logic Circuits., , and . ISCAS, page 1-5. IEEE, (2018)Internal write-back and read-before-write schemes to eliminate the disturbance to the half-selected cells in SRAMs., and . IET Circuits Devices Syst., 12 (4): 460-466 (2018)