Affiliation:
1. Engineering Research Center of Internet of Things Technology Applications (Ministry of Education), Department of Electronic Engineering, Jiangnan University, Wuxi 214122, China
Abstract
In floating gate compute-in-memory (CIM) chips, due to the gate equivalent capacitance of the large-scale array and the parasitic capacitance of the long-distance transmission wire, it is difficult to balance the switching speed and area of the word line driver circuit (WLDC). The difference among multiple voltage domains required for floating gate CIM devices has also far exceeded the withstand voltage range of a single transistor in the WLDC. This paper proposes a novel WLDC based on the working principle of the CIM array. A multi-level pre-processing voltage control method is adopted to carry out an optional hierarchical transmission of multiple high voltages, significantly reducing the propagation delay. The proposed WLDC is based on the Wilson current mirror structure, which substantially reduces the physical design area. The simulation results show that the circuit can convert a 1.2 V low-voltage domain input signal with a frequency of 10 MHz into a high-voltage domain output voltage, and the output voltage range of a single WLDC can reach −10 V to 10 V. With a capacitive load within 5 pF, the transmission delay is less than 10 ns. The layout area is 594.88 µm2, which is suitable for a large-scale CIM array.
Funder
Fundamental Research Funds for the Central Universities
Key R&D Program of Jiangsu Province
Joint Project of Yangtze River Delta Community of Sci-Tech Innovation
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Reference19 articles.
1. Sze, V., Chen, Y.H., Emer, J., Suleiman, A., and Zhang, Z. (May, January 30). Hardware for Machine Learning: Challenges and Opportunities. Proceedings of the 2017 IEEE Custom Integrated Circuits Conference (CICC), Austin, TX, USA.
2. Energy-Efficient Moderate Precision Time-Domain Mixed-Signal Vector-by-Matrix Multiplier Exploiting 1T-1R Arrays;Sahay;IEEE J. Explor. Solid-State Comput. Devices Circuits,2020
3. Time Domain Analog Neuromorphic Engine Based on High-Density Non-Volatile Memory in Single-Poly CMOS;Rizzo;IEEE Access,2022
4. Ultralow-Power Localization of Insect-Scale Drones: Interplay of Probabilistic Filtering and Compute-in-Memory;Shukla;IEEE Trans. Very Large Scale Integr. (VLSI) Syst.,2022
5. A Novel Vector-matrix Multiplication (VMM) Architecture based on NAND Memory Array;Kim;J. Semicond. Technol. Sci.,2020
Cited by
1 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