摘要
【目的】随着数据量的爆炸式增长,冯·诺依曼架构成为阻碍计算性能进一步提升的关键瓶颈。而新型存算一体架构,有望打破该瓶颈,大幅提高算力和能效。对存算一体技术进行专利分析,可为国内企业在该领域的研究和市场竞争提供有价值的专利信息。【方法】对存算一体技术的专利申请进行统计,并从多个维度对存算一体技术的专利申请情况进行分析。【结果】基于存算一体技术的专利申请量稳步增加;中国是重要的技术原创国,高校和科研院所是主要的申请主体,企业也在积极地进行专利布局。【结论】中国申请人在该领域具有一定的科研实力,但离国际领先的科技公司水平还有一定的差距。未来需持续在该领域进行研发投入,提升综合竞争能力。
[Purposes]With the explosive growth of data,the von Neumann architecture has become a key bottleneck preventing further improvements in computing performance.The new Computing in Memory architecture is expected to break this bottleneck and greatly improve computing power and energy effi-ciency.The patent analysis of Computing in Memory technology can provide valuable patent information for domestic enterprises in the field of research and market competition.[Methods]The patent applica-tions of the Computing in Memory technology were analyzed statistically,and the patent applications of the Computing in Memory technology were analyzed from multiple dimensions.[Findings]The number of patent applications based on Computing in Memory technology increased steadily.China was an impor-tant original technology country,with universities and research institutes as the main applicants,and en-terprises were also actively carrying out patent layout.[Conclusion]Chinese applicants have certain sci-entific research strength in this field,but there is still a certain gap from the international leading tech-nology companies.In the future,it is necessary to continue to invest in research and development in this field to enhance comprehensive competitiveness.
作者
杜克奎
张茜
DU Kekui;ZHANG Qian(Patent Examination Cooperation(Tianjin)Center of the Patent Office,CNIPA,Tianjin 300304,China)
出处
《河南科技》
2024年第11期135-138,共4页
Henan Science and Technology
关键词
存算一体
冯·诺依曼
专利分析
computing in memory
John von Neumann
patent analysis
作者简介
杜克奎(1990-),男,硕士,知识产权师,研究方向:电子与通信技术;第一作者:张茜(1987-),女,硕士,助理研究员,研究方向:交互设备。
