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TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU.

, , , and . DATE, page 294-297. IEEE, (2020)

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Automated Search-Based Functional Approximation for Digital Circuits., , and . Approximate Circuits, Springer, (2019)Efficient On-Chip Randomness Testing Utilizing Machine Learning Techniques., , , , and . IEEE Trans. Very Large Scale Integr. Syst., 27 (12): 2734-2744 (2019)Satisfiability Solving Meets Evolutionary Optimisation in Designing Approximate Circuits., , , and . SAT, volume 12178 of Lecture Notes in Computer Science, page 481-491. Springer, (2020)ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining., , , , and . ICCAD, page 1-8. ACM, (2019)ADAC: Automated Design of Approximate Circuits., , , , , and . CAV (1), volume 10981 of Lecture Notes in Computer Science, page 612-620. Springer, (2018)ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems., , , , and . DAC, page 1-6. IEEE, (2020)Designing Approximate Arithmetic Circuits with Combined Error Constraints., , , and . DSD, page 785-792. IEEE, (2022)ApproxDARTS: Differentiable Neural Architecture Search with Approximate Multipliers., , and . CoRR, (2024)Optimization of BDD-based Approximation Error Metrics Calculations.. ISVLSI, page 86-91. IEEE, (2022)ArithsGen: Arithmetic Circuit Generator for Hardware Accelerators., and . DDECS, page 44-47. IEEE, (2022)