Computing-centric Computing-in-memory and Memory-Centric In-/Near-memory Computing for DNNs and Transformer Based LLMsXin Si, Xing Wang,Jun YangJournal of Semiconductors(2026)SCI 4区Southeast University被引用0|浏览0摘要Introduction.With the rapid development of trans-former-based large language models(LLMs)and deep neural networks(DNNs),the demand for both high computational throughput and massive memory capacity has grown exponen-tially[1-4].更多查看译文上传PDF原文链接分享引用加入学术空间AI Read Science数据免责声明页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cnChat Paper正在生成论文摘要