REGENT: A Heterogeneous ReRAM/GPU-based Architecture Enabled by NoC for Training CNNs

Author:

Joardar Biresh Kumar,Li Bing,Doppa Janardhan Rao,Li Hai,Pande Partha Pratim,Chakrabarty Krishnendu

Publisher

IEEE

Cited by 16 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. AUTOHET: An Automated Heterogeneous ReRAM-Based Accelerator for DNN Inference;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

2. In-Memory Computing for AI Accelerators: Challenges and Solutions;Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing;2023-10-01

3. Scalable and Energy-Efficient NN Acceleration with GPU-ReRAM Architecture;Applied Reconfigurable Computing. Architectures, Tools, and Applications;2023

4. NoC-enabled 3D Heterogeneous Manycore Systems for Big-Data Applications;2022 23rd International Symposium on Quality Electronic Design (ISQED);2022-04-06

5. ReaLPrune: ReRAM Crossbar-Aware Lottery Ticket Pruning for CNNs;IEEE Transactions on Emerging Topics in Computing;2022

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