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基于PCIE的多嵌入式人工智能处理器低延迟数据交换技术OA

Multiple Embedded AI Processors Low Latency Data Exchange Technology Based on PCIE Interface

中文摘要英文摘要

针对多嵌入式人工智能(Artificial Intelligence,AI)处理器板卡之间的任务调度和数据交换冲突以及提高多板卡堆叠扩展时的可靠性和运行效率问题,文中提出了一种虫洞交换结构多嵌入式人工智能处理器高速数据交换技术和数据帧结构的解决方法.该方法基于PCIE(PCI Express)高速数据接口,将数据以数据单元的形式进行信息传递,并设计多重权重决策算法避免数据传输中的冲突,实现任务的并发多线程处理.搭建FPGA(Field Programmable Gate Array)平台进行设计和测试,结果表明PCIE的传输带宽利用效率达到了85%以上,数据交换延迟小于20 μs,系统中断任务响应平均最大延迟时间为8.775 μs.该技术适用于多处理器协同的高速交换电路,可扩展至混合PCIE和RapidIO交换电路结构.

In view of the conflict of task scheduling and data exchange between multiple embedded AI(Artificial Intelligence)processors and improving the reliability and efficiency of stack expansion of multiple AI processors,a high speed data exchange technology and data frame structure of multiple embedded AI processors with wormhole switching structure are proposed in this study.Based on the PCIE(PCI Express)high-speed data interface,the da-ta is transmitted in the form of data unit,and the multi-weight decision algorithm is designed to avoid the conflict in data transmission and realize the concurrent multi-threading of the task.The FPGA(Field Programmable Gate Ar-ray)platform is designed and tested.The results show that the transmission bandwidth utilization efficiency of PCIE reaches more than 85%,the data exchange delay is less than 20 μs,and the average maximum delay time of inter-rupt task response is 8.775 μs.The technology is suitable for high-speed switching circuits with multi-processor collaboration and can be extended to hybrid PCIE and RapidIO switching circuit architectures.

魏璇;温凯林;李斌;刘淑涛;褚洁;蔡觉平

西安电子科技大学 微电子学院,陕西 西安 710071||中国电子科技集团公司第五十四研究所,河北 石家庄 050000西安电子科技大学 微电子学院,陕西 西安 710071||苏州鸿鹄骐骥电子科技有限公司,江苏 苏州 215000中国电子科技集团公司第五十四研究所,河北 石家庄 050000西安电子科技大学 微电子学院,陕西 西安 710071

电子信息工程

嵌入式人工智能处理器数据交换外围组件互连快速PCI Express交换开关虫洞技术数据仲裁多重权重决策

embedded AI processorsdata exchangefast peripheral component interconnectionPCI Expressexchange switchwormhole technologydata arbitrationmulti-weighted decision making

《电子科技》 2024 (005)

32-37,46 / 7

国家自然科学基金(62274123);陕西省重点研发计划重点产业创新链项目(2021ZDLGY02-01) National Natural Science Foundation of China(62274123);Key In-dustrial Innovation Chain Project of Shaanxi Key Research and De-velopment Program(2021ZDLGY02-01)

10.16180/j.cnki.issn1007-7820.2024.05.005

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