Architecture and Analysis for Next Generation Mobile Signal Processing.

Computer Architecture;Software Defined Radio;Signal Processing;Embedded Systems;Low Power Computing;SIMD;Electrical Engineering;Engineering;Electrical Engineering

Woh, MarkMartin, WilliamR. ;

University of Michigan

关键词: Computer Architecture;    Software Defined Radio;    Signal Processing;    Embedded Systems;    Low Power Computing;    SIMD;    Electrical Engineering;    Engineering;    Electrical Engineering;   

Others  :  https://deepblue.lib.umich.edu/bitstream/handle/2027.42/86344/mwoh_1.pdf?sequence=1&isAllowed=y

瑞士|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

Mobile devices have proliferated at a spectacular rate, with more than 3.3 billion active cell phones in the world. With sales totaling hundreds of billions every year, the mobile phone has arguably become the dominant computing platform, replacing the personal computer.Soon, improvements to today’s smart phones, such as high-bandwidth internet access, high-definition video processing, and human-centric interfaces that integrate voice recognition and video-conferencing will be commonplace.Cost effective and power efficient support for these applications will be required.Looking forward to the next generation of mobile computing, computation requirements will increase by one to three orders of magnitude due to higherdata rates, increased complexity algorithms, and greater computation diversity but the power requirements will bejust as stringent to ensure reasonable battery lifetimes. The design of the next generation of mobile platforms must address three critical challenges: efficiency, programmability, and adaptivity. The computational efficiency of existing solutions is inadequate and straightforward scaling by increasing the number of cores or the amount of data-level parallelism will not suffice. Programmability provides the opportunity for a single platform to support multiple applications and even multiple standards within each application domain.Programmability also provides: faster time to market as hardware and software development can proceed in parallel; the ability to fix bugs and add features after manufacturing; and, higher chip volumes as a single platform can support a family of mobile devices. Lastly, hardware adaptivity is necessary to maintain efficiency as the computational characteristics of the applications change. Current solutions are tailored specifically for wireless signal processing algorithms, but lose their efficiency when other application domains like high definition video are processed.This thesis addresses these challenges by presenting analysis of next generation mobile signal processing applications and proposing an advanced signal processing architecture to deal with the stringent requirements.An application-centric design approach is taken to design our architecture. First, a next generation wireless protocol and high definition video is analyzed and algorithmic characterizations discussed.From these characterizations, key architectural implications are presented,which form the basis for the advanced signal processor architecture, AnySP.