Optimization of Projected Phase Change Memory for Analog In‐Memory Computing Inference

Optimization of Projected Phase Change Memory for Analog In‐Memory Computing Inference

Abstract Phase change memory (PCM) is one of the most promising candidates for non‐von Neumann based analog in‐memory computing–particularly for inference of previously‐trained deep neural networks (DNN). It is shown that PCM electrical properties can be tuned systematically using a projection liner...

Olles dieđut

Bibliográfalaš dieđut
Váldodahkkit: Ning Li, Charles Mackin, An Chen, Kevin Brew, Timothy Philip, Andrew Simon, Iqbal Saraf, Jin‐Ping Han, Syed Ghazi Sarwat, Geoffrey W. Burr, Malte Rasch, Abu Sebastian, Vijay Narayanan, Nicole Saulnier
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: Wiley-VCH 2023-06-01
Ráidu:Advanced Electronic Materials
Fáttát:
deep neural network
in‐memory computing
non‐volatile memory
phase change memory
resistance drift
Liŋkkat:https://doi.org/10.1002/aelm.202201190

Interneahtta

https://doi.org/10.1002/aelm.202201190

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