High-Precision Close-to-Analog Programming of PCM Cells as Devices for AiMC Edge-AI

One of the most appealing characteristics of Phase-Change Memory (PCM) technology is the ability to store analog quantities as conductances. To fruitfully exploit this feature in Analog in-Memory Computing (AiMC) applications, highprecision programming algorithms are required. In this paper, a method to reach a fairly arbitrary number of analog levels in PCM cells is proposed. The algorithm has been validated on an AiMC prototype, designed and fabricated using a <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$28-\text{nm}$</tex> FD-SOI process by STMicroelectronics to compute <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$512 \times 512$</tex> signed Matrix-Vector Multiplications (MVMs), achieving an Equivalent Number of Bits (ENOB) of 10.55, which improves state-of-theart weights programming accuracy for PCM-based hardware accelerators.

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Published
2025-09-08
DOI
https://doi.org/10.1109/esserc66193.2025.11214085
Primary Topic
Advanced Memory and Neural Computing
Type
article
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article

High-Precision Close-to-Analog Programming of PCM Cells as Devices for AiMC Edge-AI

Andrea Lico, Laura Greco, Alessio Antolini, E. Calvetti et al.
Advanced Memory and Neural Computing
article

High-Precision Close-to-Analog Programming of PCM Cells as Devices for AiMC Edge-AI

Andrea Lico, Laura Greco, Alessio Antolini, E. Calvetti, Riccardo Vignali, A. Cabrini, Francesco Zavalloni, R. Zurla, Eleonora Franchi Scarselli, M. Pasotti, Luca Iannelli, J.C. Bertolini
article en

Abstract

One of the most appealing characteristics of Phase-Change Memory (PCM) technology is the ability to store analog quantities as conductances. To fruitfully exploit this feature in Analog in-Memory Computing (AiMC) applications, highprecision programming algorithms are required. In this paper, a method to reach a fairly arbitrary number of analog levels in PCM cells is proposed. The algorithm has been validated on an AiMC prototype, designed and fabricated using a <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$28-\text{nm}$</tex> FD-SOI process by STMicroelectronics to compute <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$512 \times 512$</tex> signed Matrix-Vector Multiplications (MVMs), achieving an Equivalent Number of Bits (ENOB) of 10.55, which improves state-of-theart weights programming accuracy for PCM-based hardware accelerators.

STMicroelectronics (Switzerland) (CH), University of Pavia (IT), STMicroelectronics (Italy) (IT), University of Bologna (IT)
Openalex Percentile: Top 68%
Advanced Memory and Neural Computing
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High-Precision Close-to-Analog Programming of PCM Cells as Devices for AiMC Edge-AI — Andrea Lico, Laura Greco, et al. · (2025) | TGRS Research Map | TGRS