An LPDDR-based CXL-PNM Platform for TCO-efficient Inference of Transformer-based Large Language Models-Reference-Cited by-同舟云学术

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An LPDDR-based CXL-PNM Platform for TCO-efficient Inference of Transformer-based Large Language Models

Published:2024-03-02 Issue: Volume: Page:
ISSN:
Container-title:2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
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Author:

Park Sang-Soo¹,Kim KyungSoo¹,So Jinin¹,Jung Jin¹,Lee Jonggeon¹,Woo Kyoungwan¹,Kim Nayeon¹,Lee Younghyun¹,Kim Hyungyo¹,Kwon Yongsuk¹,Kim Jinhyun¹,Lee Jieun²,Cho YeonGon¹,Tai Yongmin¹,Cho Jeonghyeon¹,Song Hoyoung¹,Ahn Jung Ho²,Kim Nam Sung³

Affiliation:

1. Samsung Electronics

2. Seoul National University

3. University of Illinois Urbana-Champaign

Funder

Semiconductor Research Corporation (SRC)

DARPA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10476359/10476395/10476443.pdf?arnumber=10476443

Reference52 articles.

1. DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale

2. Chameleon: Versatile and practical near-DRAM acceleration architecture for large memory systems

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A 3D-stack DRAM-based PNM architecture design;Integration;2025-01

2. CLAY: CXL-based Scalable NDP Architecture Accelerating Embedding Layers;Proceedings of the 38th ACM International Conference on Supercomputing;2024-05-30

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