5G baseband signal processing places greater real-time and reliability requirements on hardware.Based on the architecture of the MaPU,a reconfigurable computing architecture is proposed according to the characteristic...5G baseband signal processing places greater real-time and reliability requirements on hardware.Based on the architecture of the MaPU,a reconfigurable computing architecture is proposed according to the characteristics of the 5G baseband signal processing.A dedicated instruction set for 5G baseband signal processing is proposed.The corresponding functional units are designed for reuse of hardware resources.A redirected register file is proposed to address latency and power consumption issues in internetwork.A two-dimensional code compression scheme is proposed for cases in which the use ratio of instruction memory is low.The access mode of the data memory is extended,the performance is improved and the power consumption is reduced.The throughput of 5G baseband processing algorithm is one to two orders of magnitude higher than that of the TMS320C6670 with less power consumption.The silicon area evaluated by layout is 5.8 mm2,which is 1/6 of the MaPU’s.The average power consumption is 0.7 W,which is 1/5 of the MaPU’s.展开更多
面向代码的软件能耗优化从程序设计和编码角度优化软件系统的能耗,能够很好地弥补面向硬件和面向资源的能耗优化方法过多依赖硬件环境、普适性较差、粒度过大,且难以在软件开发过程中应用等缺点.该文综述了近年来面向代码软件能耗优化...面向代码的软件能耗优化从程序设计和编码角度优化软件系统的能耗,能够很好地弥补面向硬件和面向资源的能耗优化方法过多依赖硬件环境、普适性较差、粒度过大,且难以在软件开发过程中应用等缺点.该文综述了近年来面向代码软件能耗优化领域的主要研究成果,总结了能耗优化的基本方法和技术层次以及面向代码的软件能耗优化基本思路;随后从面向代码的软件能耗估算方法和优化方法两个方面对现有工作加以梳理,逐一介绍了相关优化工具.该文提出了若干进一步研究的问题.首先,该文重定义面向代码的软件能耗评估模型和方法应该满足的特性,并提出代码的运行时能耗(Runtime Energy Consumption)和视在能耗(Apparent Energy Consumption)的概念;其次,该文认为现有面向代码的能耗优化技术过于具体,或针对具体的代码,或针对具体的功能,缺乏抽象层次的优化技术,缺乏算法层面的能耗优化方法,且没有充分考虑编程语言特征,尤其是面向对象语言特征;最后,该文提出算法能耗复杂度这一新观点,指出仍然存在的问题和可能的解决办法.展开更多
基金Project(XDA-06010402)supported by the Strategic Priority Research Program of Chinese Academy of SciencesProject(Y5S7061G51)supported by the Youth Innovation Promotion Association of Chinese Academy of Sciences
文摘5G baseband signal processing places greater real-time and reliability requirements on hardware.Based on the architecture of the MaPU,a reconfigurable computing architecture is proposed according to the characteristics of the 5G baseband signal processing.A dedicated instruction set for 5G baseband signal processing is proposed.The corresponding functional units are designed for reuse of hardware resources.A redirected register file is proposed to address latency and power consumption issues in internetwork.A two-dimensional code compression scheme is proposed for cases in which the use ratio of instruction memory is low.The access mode of the data memory is extended,the performance is improved and the power consumption is reduced.The throughput of 5G baseband processing algorithm is one to two orders of magnitude higher than that of the TMS320C6670 with less power consumption.The silicon area evaluated by layout is 5.8 mm2,which is 1/6 of the MaPU’s.The average power consumption is 0.7 W,which is 1/5 of the MaPU’s.
文摘面向代码的软件能耗优化从程序设计和编码角度优化软件系统的能耗,能够很好地弥补面向硬件和面向资源的能耗优化方法过多依赖硬件环境、普适性较差、粒度过大,且难以在软件开发过程中应用等缺点.该文综述了近年来面向代码软件能耗优化领域的主要研究成果,总结了能耗优化的基本方法和技术层次以及面向代码的软件能耗优化基本思路;随后从面向代码的软件能耗估算方法和优化方法两个方面对现有工作加以梳理,逐一介绍了相关优化工具.该文提出了若干进一步研究的问题.首先,该文重定义面向代码的软件能耗评估模型和方法应该满足的特性,并提出代码的运行时能耗(Runtime Energy Consumption)和视在能耗(Apparent Energy Consumption)的概念;其次,该文认为现有面向代码的能耗优化技术过于具体,或针对具体的代码,或针对具体的功能,缺乏抽象层次的优化技术,缺乏算法层面的能耗优化方法,且没有充分考虑编程语言特征,尤其是面向对象语言特征;最后,该文提出算法能耗复杂度这一新观点,指出仍然存在的问题和可能的解决办法.
