SHF: Small: High-Performance, Energy-Efficient Mobile Web Computing

网络正在不断地改变社会--塑造通信，催化创新，甚至塑造思维过程。在过去的十年中，Web的角色已经从信息检索（Web 1.0）转变为提供交互和吸引用户体验的平台（Web 2.0）。Web再次进入一个新时代，超越了用户参与，提供将多个设备集成在一起的智能服务。Web发展背后的驱动力是无处不在的移动的设备--毫无疑问是当今最普及的个人计算平台。PI将研究移动的设备和Web技术之间的关键结合，因为移动的设备很难在电池功耗预算上提供高计算能力。PI的综合教育计划，包括研讨会，新课程和尖端的网络技术，将刺激来自不同背景，种族，年龄组和技能组合的年轻学生，追求相关科学和技术领域的学术兴趣。接触将培养学生拥抱科学，技术，工程和数学的职业生涯。这项研究将为开发未来的高性能和高能效的移动的计算系统奠定基础，这些系统将迎来下一代Web应用程序。 PI将研究和调查跨执行堆栈层的优化：在（1）硬件层，研究将深入了解新的移动的处理器架构，通过利用特定领域和运行时知识实现高效率;在（2）运行时软件层，该项目将为反馈驱动机制奠定基础，这些机制可以动态学习以能量运行架构-在（3）应用层，研究将发现语言提示，使应用程序编写人员能够了解其应用程序的能耗。

The Web is continuously transforming society - shaping communications, catalyzing innovations, even shaping thought processes. Over the past decade, the role of the Web has shifted from information retrieval (Web 1.0) to providing a platform for interactive and engaging user experiences (Web 2.0). The Web is once again entering a new age, transcending user engagement to provide intelligent services that integrate multiple devices together. The driving force behind the Web's evolution is the ubiquity of mobile devices-undoubtedly today's most pervasive personal computing platform. The PI will study the crucial conjunction between mobile devices and Web technologies because mobile devices struggle to deliver high computational capability on a battery-power budget. The PI's integrated education plan, involving workshops, new curriculum and cutting-edge Web technologies, will stimulate students from a young age, who come from a diverse range of backgrounds, ethnicities, age groups and skill sets, to pursue academic interests in relevant scientific and technological fields. The exposure will nurture students to embrace careers in science, technology, engineering, and mathematics. The research will lay the groundwork and establish the foundations needed to develop future high-performance and energy-efficient mobile computing systems that can usher in the next generation of Web applications.  The PI will research and investigate optimizations across the layers of the execution stack: at the (1) hardware layer the research will yield insights into new mobile processor architectures that achieve high efficiency by exploiting domain-specific and runtime knowledge; at the (2) runtime software layer, the project will lay the foundations for feedback-driven mechanisms that can dynamically learn to operate the architecture at energy-efficient points without compromising end-user application performance and user experience; at the (3) application layer, the research will discover language hints to empower application writers with awareness of their applications' energy consumption.