Long live TIME
Author:
Affiliation:
1. Tsinghua University, Beijing, China and Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China
2. Chinese Academy of Sciences, Beijing, China
3. Massachusetts Institute of Technology
Funder
National Key R&D Program of China
Joint Fund of Equipment pre-Research and Ministry of Education
National Natural Science Foundation of China
Beijing National Research Center for Information Science and Technology
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3195970.3196071
Reference17 articles.
1. Aji etal 2017. Sparse Communication for Distributed Gradient Descent. In Empirical Methods in Natural Language Processing (EMNLP). Aji et al. 2017. Sparse Communication for Distributed Gradient Descent. In Empirical Methods in Natural Language Processing (EMNLP) .
2. Nanoscale Hafnium Oxide RRAM Devices Exhibit Pulse Dependent Behavior and Multi-level Resistance Capability;Mrs Advances,2016
3. C. H Cheng et al. 2010. Novel Ultra-low power RRAM with good endurance and retention. In VLSI Technology. 85--86. C. H Cheng et al. 2010. Novel Ultra-low power RRAM with good endurance and retention. In VLSI Technology . 85--86.
4. TIME
Cited by 32 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. NDPipe: Exploiting Near-data Processing for Scalable Inference and Continuous Training in Photo Storage;Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3;2024-04-27
2. A training method for deep neural network inference accelerators with high tolerance for their hardware imperfection;Japanese Journal of Applied Physics;2024-01-23
3. Energy-Efficient Machine Learning Acceleration: From Technologies to Circuits and Systems;2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED);2023-08-07
4. Resistive Neural Hardware Accelerators;Proceedings of the IEEE;2023-05
5. ODLPIM: A Write-Optimized and Long-Lifetime ReRAM-Based Accelerator for Online Deep Learning;2023 Design, Automation & Test in Europe Conference & Exhibition (DATE);2023-04
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