References

[1] Y. Cao et al., "MZ Core: An Enhanced Matrix Acceleration Engine for HPC/ AI Applications," in 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), 18-20 Dec. 2022 2022, pp. 126-134, doi: 10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00050.

[2] P. Chen et al., "7.8 A 22nm Delta-Sigma Computing-In-Memory (Δ∑CIM) SRAM Macro with Near-Zero-Mean Outputs and LSB-First ADCs Achieving 21.38TOPS/W for 8b-MAC Edge AI Processing," in 2023 IEEE International Solid-State Circuits Conference (ISSCC), 19-23 Feb. 2023 2023, pp. 140-142, doi: 10.1109/ISSCC42615.2023.10067289.

[3] I. A. Papistas et al., "A 22 nm, 1540 TOP/s/W, 12.1 TOP/s/mm2 in-Memory Analog Matrix-Vector-Multiplier for DNN Acceleration," in 2021 IEEE Custom Integrated Circuits Conference (CICC), 25-30 April 2021 2021, pp. 1-2, doi: 10.1109/CICC51472.2021.9431575.

[4] F. Hu, "Survey on Neural Networks in Natural Language Processing," in 2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT), 28-30 April 2023 2023, pp. 591-594, doi: 10.1109/ICCECT57938.2023.10141113.

[5] Y. Liu, S. Liu, Y. Wang, F. Lombardi, and J. Han, "A Survey of Stochastic Computing Neural Networks for Machine Learning Applications," IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 7, pp. 2809-2824, 2021, doi: 10.1109/TNNLS.2020.3009047.

[6] Z. Li, F. Liu, W. Yang, S. Peng, and J. Zhou, "A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects," IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 12, pp. 6999-7019, 2022, doi: 10.1109/TNNLS.2021.3084827.



Back to top