Work

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

Year: 2025

Type: article

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$28-\text{nm}$FD-SOI process by STMicroelectronics to compute$512 \times 512$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.

Source: IEEE Journal of Solid-State Circuits

DOI: 10.1109/esserc66193.2025.11214085

Authors: A. Antolini, A. Lico, F. Zavalloni, L. Greco, R. Zurla, J. Bertolini, R. Vignali, L. Iannelli, E. Calvetti, M. Pasotti, A. Cabrini, E. Franchi Scarselli

Institutions: University of Bologna, STMicroelectronics (Italy), University of Pavia

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $2,645

OpenAlex ID: W4415933911

FWCI: 0.907

Cites: 10

Cited by: 4

Related to: