Quarry: Quantization-based ADC Reduction for ReRAM-based Deep Neural Network Accelerators
Author:
Funder
NRF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9643423/9643432/09643502.pdf?arnumber=9643502
Cited by 14 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. ReHarvest: An ADC Resource-Harvesting Crossbar Architecture for ReRAM-Based DNN Accelerators;ACM Transactions on Architecture and Code Optimization;2024-09-14
2. CIMQ: A Hardware-Efficient Quantization Framework for Computing-In-Memory-Based Neural Network Accelerators;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2024-01
3. Partial Sum Quantization for Reducing ADC Size in ReRAM-Based Neural Network Accelerators;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-12
4. Partial-Sum Quantization for Near ADC-Less Compute-In-Memory Accelerators;2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED);2023-08-07
5. Exploring Bit-Level Sparsity for Partial Sum Quantization in Computing-In-Memory Accelerator;2023 IEEE 12th Non-Volatile Memory Systems and Applications Symposium (NVMSA);2023-08
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