The Breakthrough Memory Solutions for Improved Performance on LLM Inference

IF 2.8 3区计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

IEEE Micro Pub Date : 2024-03-25 DOI:10.1109/mm.2024.3375352

Byeongho Kim, Sanghoon Cha, Sangsoo Park, Jieun Lee, Sukhan Lee, Shin-haeng Kang, Jinin So, Kyungsoo Kim, Jin Jung, Jong-Geon Lee, Hyeonsu Kim, Jin-Seong Kim, Yuhwan Ro, YeonGon Cho, Jin Hyun Kim, JoonHo Song, Jaehoon Yu, Seungwon Lee, Jeonghyeon Cho, Kyomin Sohn

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提高 LLM 推断性能的突破性内存解决方案

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Micro 工程技术-计算机：软件工程

CiteScore

7.50

自引率

0.00%

发文量

164

审稿时长

>12 weeks

期刊介绍： IEEE Micro addresses users and designers of microprocessors and microprocessor systems, including managers, engineers, consultants, educators, and students involved with computers and peripherals, components and subassemblies, communications, instrumentation and control equipment, and guidance systems. Contributions should relate to the design, performance, or application of microprocessors and microcomputers. Tutorials, review papers, and discussions are also welcome. Sample topic areas include architecture, communications, data acquisition, control, hardware and software design/implementation, algorithms (including program listings), digital signal processing, microprocessor support hardware, operating systems, computer aided design, languages, application software, and development systems.