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.
Authors
- Jianshi Tang (ORCID: https://orcid.org/0000-0001-8369-0067)
- Bin Gao (ORCID: https://orcid.org/0000-0002-2417-983X)
- Zixi Kang (ORCID: https://orcid.org/0000-0001-9322-6444)
- Huaqiang Wu
- He Qian (ORCID: https://orcid.org/0000-0003-3377-5366)
Institutions
- Tsinghua University (CN)
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