An Intelligent Memory Architecture with LPDDR4 Extensions for Edge Generative AI Inference

Edge Generative AI (Gen-AI) inference has become prevalent in every aspect of the society. Present flagship edge products, however, fail to achieve high performance on Gen-AI models for the sake of limited bandwidth. An LPDDR4 compliant intelligent memory architecture is proposed in this paper to accelerate edge Gen-AI while maintaining regular LPDDR4 functions. Simulation shows the proposed architecture performs several times better than flagship products on Gen-AI, showing promise of this near-memory processing architecture.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icta64028.2024.10860369
Citations
1
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.35
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An Intelligent Memory Architecture with LPDDR4 Extensions for Edge Generative AI Inference

Jianshi Tang, Bin Gao, Zixi Kang, Huaqiang Wu et al.
1 citations
Neural Networks and Applications
0.35
article

An Intelligent Memory Architecture with LPDDR4 Extensions for Edge Generative AI Inference

Jianshi Tang, Bin Gao, Zixi Kang, Huaqiang Wu, He Qian
article en
1 citations

Abstract

Edge Generative AI (Gen-AI) inference has become prevalent in every aspect of the society. Present flagship edge products, however, fail to achieve high performance on Gen-AI models for the sake of limited bandwidth. An LPDDR4 compliant intelligent memory architecture is proposed in this paper to accelerate edge Gen-AI while maintaining regular LPDDR4 functions. Simulation shows the proposed architecture performs several times better than flagship products on Gen-AI, showing promise of this near-memory processing architecture.

Tsinghua University (CN)
Openalex Percentile: Top 29%
Neural Networks and Applications
0.35
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