Inference of long-short term memory networks at software-equivalent accuracy using 2.5 M analog phase change memory devices

2019 Symposium on VLSI Technology, 2019 - ieeexplore.ieee.org
We report accuracy for forward inference of long-short-term-memory (LSTM) networks using
weights programmed into the conductances of phase-change memory (PCM) devices. We …
被引用次数：43 相关文章

Inference of Long-Short Term Memory networks at software-equivalent accuracy using 2.5 M analog Phase Change Memory devices

H Tsai, S Ambrogio, C Mackin… - IEEE Symposium on …, 2019 - research.ibm.com
We report accuracy for forward inference of long-short-term-memory (LSTM) networks using
weights programmed into the conductances of> 2.5 M phase-change memory (PCM) …
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[PDF][PDF] Inference of Long-Short Term Memory networks at software-equivalent accuracy using 2.5 M analog Phase Change Memory devices

H Tsai, S Ambrogio, C Mackin, P Narayanan… - picture.iczhiku.com
We report accuracy for forward inference of long-short-term-memory (LSTM) networks using
weights programmed into the conductances of> 2.5 M phase-change memory (PCM) …