3D IGZO Charge-Coupled Memory DTCO & STCO Analysis for Compute-near-Memory Applications

The demand for high-capacity and energy-efficient memory solutions has surged in the era of data-centric computing, particularly for Artificial Intelligence (AI) and Machine Learning (ML) workloads. This paper introduces a novel memory architecture leveraging Charge-Coupled Device (CCD) technology, engineered in a sequential-access block memory configuration, to enhance Compute-near-Memory (CnM) systems. We propose an optimized 3D IGZO CCD block memory as an on-chip weight buffer for high-capacity CnM systems. Our approach achieves 2.95−131.26× improvement in area efficiency and 1.32−4.33× improvement in energy efficiency compared to SRAM solutions.

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Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043541
Primary Topic
Advanced Memory and Neural Computing
Type
article
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article

3D IGZO Charge-Coupled Memory DTCO & STCO Analysis for Compute-near-Memory Applications

Subhali Subhechha, Jaydeep P. Kulkarni, Sahan Gamage, Marian Verhelst et al.
Advanced Memory and Neural Computing
article

3D IGZO Charge-Coupled Memory DTCO & STCO Analysis for Compute-near-Memory Applications

Subhali Subhechha, Jaydeep P. Kulkarni, Sahan Gamage, Marian Verhelst, R. Kishore, M. Rosmeulen, Swaraj Bandhu Mahato, Dwaipayan Biswas, Fernando Garćıa-Redondo, Khakim Akhunov, M. Garcia Bardon, Wim Dehaene, Jiacong Sun, Yukai Chen, Arvind Sharma, Bowen Wang, Julien Ryckaert, Hyungrock Oh
article en

Abstract

The demand for high-capacity and energy-efficient memory solutions has surged in the era of data-centric computing, particularly for Artificial Intelligence (AI) and Machine Learning (ML) workloads. This paper introduces a novel memory architecture leveraging Charge-Coupled Device (CCD) technology, engineered in a sequential-access block memory configuration, to enhance Compute-near-Memory (CnM) systems. We propose an optimized 3D IGZO CCD block memory as an on-chip weight buffer for high-capacity CnM systems. Our approach achieves 2.95−131.26× improvement in area efficiency and 1.32−4.33× improvement in energy efficiency compared to SRAM solutions.

IMEC (BE), KU Leuven (BE)
Affordable and clean energy
Openalex Percentile: Top 87%
Advanced Memory and Neural Computing
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3D IGZO Charge-Coupled Memory DTCO & STCO Analysis for Compute-near-Memory Applications — Subhali Subhechha, Jaydeep P. Kulkarni, et al. · (2025) | TGRS Research Map | TGRS