期刊文献+

DNN加速器技术发展及航空计算系统应用展望

Development of DNN Accelerator and its Application in Avionics System
下载PDF
导出
摘要 新一代航空计算系统将以高性能智能数据处理为核心,能够支撑智能化的图像/雷达目标识别、大数据分析、指控决策、故障自诊断等多种应用场景。深度神经网络硬件加速器是面向人工智能领域专用的硬件加速平台,能够为深度卷积神经网络、循环神经网络等人工智能算法提供一个灵活可配置的运行环境,与通用计算硬件相比将获得高性能、低时延、低功耗等优势,其核心技术主要包括智能计算单元设计、并行计算加速结构、存储结构优化等。重点分析国内外深度神经网络硬件加速器技术发展情况,总结关键技术解决方案,探讨其在航空计算系统的应用场景及未来需要重点突破的技术方向,为新一代智能航空计算系统研制提供理论支撑。 The high performance intelligent data processing will be the main concern in the design of next generation airborne computing systems,especially for various intelligent application scenarios,such as image/radar target recognition,big data analysis,control and decision,and fault self diagnosis.Deep neural network(DNN)hardware accelerator is a domain specific accelerating platform for artificial intelligence(AI).It can provide a flexible and reconfigurable operating environment for AI algorithms,including deep convolutional neural network and recurrent neural network,with the advantages of high performance,low latency,and low power consumption compared with the general purpose computing hardware.The key technologies of DNN accelerator mainly include:design of intelligent computing elements,parallel computing architecture of accelerator and optimization of memory structure.This article gives an overview on the development of DNN accelerators,concludes the solutions of key technologies,and discusses the probable application scenarios of DNN accelerator in avionics system.This article can provide some technique support for the design of next generation intelligent airborne computing systems.
作者 赵一煊 刘飞阳 高晗 王建生 ZHAO Yi xuan;LIU Fei yang;GAO Han;WANG Jian sheng(Xi′an Aeronautics Computing Technique Research Institute,AVIC,Xi′an 710068,China)
出处 《航空计算技术》 2022年第3期130-134,共5页 Aeronautical Computing Technique
基金 航空科学基金项目资助(2018ZC31002)。
关键词 航空电子系统 智能计算 深度神经网络 硬件加速器 avionics system intelligent computing deep neural network hardware accelerator
  • 相关文献

参考文献3

二级参考文献45

  • 1Burd Thomas D, Brodersen Robert W. Energy efficient CMOS microprocessor design//Proceedings of the 28th Annual Hawaii International Conference on System Sciences. Hawaii, USA, 1995, 1: 298-305.
  • 2Li J, Martinez J F. Power-performance considerations of par- allel computing on chip mutliprocessors. ACM Transactions on Architecture and Code Optimization, 2005, 2 (4): 397- 422.
  • 3Agerwala T, Chatterjee S. Computer architecture: Challen- ges and opportunities for the next decade. IEEE Micro, 2005, 25(3): 58-69.
  • 4Balasubramanian Srikanth. Power delivery for high perform- ance mieroprocessors//Proceedings of the 13th International Symposium on Low Power Electronics and Design (ISLPED'O8). Bangalore, India, 2008:239-240.
  • 5Zhu Dakai. Reliability-aware dynamic energy management in dependable embedded real-time systems. ACM Transactions on Embedded Computing Systems(TECS), 2010, 10(2): 26.
  • 6Chen Jian-Jia, Kuo Tei-Wei. Procrastination determination for periodic real-time tasks in leakage-aware dynamic voltage scaling systems//Proceedings of the IEEE/ACM International Conference on Computer-Aided Design (ICCAD). San Jose, Cali{ornia, USA, 2007:289-294.
  • 7Jejurikar Ravindra, Pereira Cristiano. Gupta Rajesh K. Leakage aware dynamic voltage scaling for real-time embeded systems//Proceedings of the Design Automation Conference (DAC). San Diego, California, USA, 2004:275-280.
  • 8Esmaeilzadeh Hadi, Blemz Emily, Amant Renee St. , San- karalingamz Karthikeyan, Burger Doug. Dark silicon and the end of multicore scaling//Proceedings of the ISCA2011. San Jose, CA, USA, 2011: 365- 376.
  • 9Azizi Omid, Mahesri Aqeel, Lee Benjamin C, Patel Sanjay J, Horowitz Mark. Energy-performance tradeoffs in processor architecture and circuit design: A marginal cost analysis// Proceedings of the 37th Annual International Symposium on Computer Architecture (ISCA' 10). Saint-Malo, France, 2010:26-36.
  • 10Zikos Stylianos, Karatza Helen D. Performance and energy aware cluster-level scheduling of compute-intensive jobs with unknown service times. Simulation Modeling Practice and Theory, Elsevier, 2011, 19(1): 230-250.

共引文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部