CSR--EHS: Collaborative Research: Hardware/Software Co-Exploration of Scalable Software Defined Radio Platforms

在接下来的五到十年里，无限制/普及型计算机的部署将迅速增加。最好的例子是手机，但预计会出现许多新的此类设备。这些设备将通过移动高级功能来改进手机，例如始终在线的互联网接入、高清晰度流视频和具有语音识别的以人为中心的界面。普适计算的关键要素之一是无线通信。移动设备在从一个位置移动到另一个位置时，必须能够无缝连接到任何可用的通信服务，例如不同的蜂窝网络和无线局域网。软件定义无线电(SDR)承诺通过完全在软件中实现无线协议来提供灵活的解决方案。在可编程硬件基板上执行的SDR促进了普适计算所需的互操作性、灵活性和对新功能的支持。此外，SDR防止陷入传统的以硬件为中心的解决方案经常面临的固定和过时的标准。该项目专注于硬件和软件创新，为SDR创建可编程和可扩展的平台，以满足未来十年的预计带宽需求。单一方向的创新不足以实现这些目标。相反，使用了由创新硬件、编译器和算法组成的多层方法。在这三个维度上，该项目将开发用于分解信号处理算法以利用粗粒度并行性的通用技术、在多核计算系统上协调通信顺序任务的执行的编译器技术、以及用于在移动计算设备上支持SDR的平台范围的功率感知架构技术。

Over the next five to ten years, the deployment of untethered/pervasive computers will increase rapidly. The prime example is the cell phone, but the emergence of many new classes of such devices is expected. These devices will improve on the cell phone by moving advanced functionality, such as always-on Internet access, high-definition streaming video, and human-centric interfaces with voice recognition. One of the key ingredients to pervasive computing is wireless communication. Mobile devices must be able to seamlessly interface to whatever communication services are available as they are moved from location to location, such as different cellular networks and wireless local area networks. Software defined radio (SDR) promises to deliver flexible solutions by implementing wireless protocols wholly in software. SDR executing on programmable hardware substrates facilitates the inter-operability, flexibility, and support for new features that pervasive computing requires. Further, SDR prevents getting locked into fixed and outdated standards that traditional hardware-centric solutions are often faced with. This project focuses on hardware and software innovations to create platforms for SDR that are both programmable and scalable to the projected bandwidth requirements for the next ten years. Innovation in a single direction is not sufficient to accomplish these goals. Rather, a multi-layered approach, consisting of innovation hardware, compiler, and algorithms, is used. Across these three dimensions, this project will develop general techniques for decomposing signal processing algorithms to exploit coarse-grained parallelism, compiler technologies orchestrating the execution of communicating sequential tasks on multicore computing systems, and platform-wide power-aware architectural techniques for supporting SDR on mobile computing devices.