Q-PIM: A Genetic Algorithm based Flexible DNN Quantization Method and Application to Processing-In-Memory Platform
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9211868/9218488/09218737.pdf?arnumber=9218737
Cited by 12 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. APQ: Automated DNN Pruning and Quantization for ReRAM-Based Accelerators;IEEE Transactions on Parallel and Distributed Systems;2023-09
2. ES-MPQ: Evolutionary Search Enabled Mixed Precision Quantization Framework for Computing-in-Memory;2023 IEEE 12th Non-Volatile Memory Systems and Applications Symposium (NVMSA);2023-08
3. CREAM: Computing in ReRAM-Assisted Energy- and Area-Efficient SRAM for Reliable Neural Network Acceleration;IEEE Transactions on Circuits and Systems I: Regular Papers;2023-08
4. An efficient segmented quantization for graph neural networks;CCF Transactions on High Performance Computing;2022-11-06
5. Compute-in-Memory Technologies and Architectures for Deep Learning Workloads;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2022-11
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