An Energy-Efficient One-Shot Time-Based Neural Network Accelerator Employing Dynamic Threshold Error Correction in 65 nm

Author:

Everson Luke R.ORCID,Liu MuqingORCID,Pande NakulORCID,Kim Chris H.ORCID

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Cited by 27 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. PVT-Insensitive Time-Domain-based In-Memory Computation with Improved Linearity for Binary Neural Networks;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

2. An Area and Energy-Efficient SRAM Based Time - Domain Compute-In-Memory Architecture For BNN;2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS);2024-04-22

3. An Energy-Efficient Time Domain Based Compute In-Memory Architecture for Binary Neural Network;2024 25th International Symposium on Quality Electronic Design (ISQED);2024-04-03

4. Reprogrammable Time-Domain RRAM Based Vector Matrix Multiplier for In-Memory Computing;2024 25th International Symposium on Quality Electronic Design (ISQED);2024-04-03

5. Merits of Time-Domain Computing for VMM – A Quantitative Comparison;2024 25th International Symposium on Quality Electronic Design (ISQED);2024-04-03

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