Collaborative Research: Energy-Aware Memory Synchronization for Embedded Multicore Systems

高端嵌入式系统，如智能手机、游戏机、支持GPS的汽车系统、家庭娱乐中心和其他环境智能？系统在日常生活中正变得越来越重要。使这类系统节能是新的挑战，对经济和环境具有广泛的影响。这种高端嵌入式系统是多核体系结构，需要对内存连接和调度等资源进行管理。该方案研究了不受实时限制的高端嵌入式系统中系统级并发问题的能量影响。特别是，它的目标是开发同步内存访问的高能效技术，并试图了解硬件和软件之间的最佳任务分工。嵌入式系统是现代生活中不可或缺的组成部分，是一个不断增长的市场。随着这个市场上产品的计算需求变得越来越复杂，在满足这些系统施加的严格限制方面将面临更多挑战。这种设备性能的改进，特别是能源效率的提高，将在改进功能、设备寿命和节约资源方面产生重大影响。这项建议涉及计算机工程和计算机科学两个学科和两个机构之间的合作。该提案的更广泛影响包括举办以多核和并行计算为重点的讲习班，特别强调鼓励妇女和任职人数不足的少数群体参加。此外，该项目的研究结果将纳入现有课程，具体目的是引入计算机科学和工程课程之间的交叉问题。

High-end embedded systems such as smart phones, game consoles, GPS-enabled automotive systems, home entertainment centers, and other ?ambient intelligence? systems are becoming increasingly important in everyday life. Making such systems energy-efficient presents new challenges with broad implications for the economy and the environment. Such high-end embedded systems are multicore architectures, which require management of resources such as memory connectivity and scheduling. This proposal investigates the energy implications of system-level concurrency issues in high-end embedded systems that are not limited by real-time constraints. In particular, it aims to develop energy-efficient techniques of synchronizing memory accesses, and tries to understand the optimal division of tasks between hardware and software. Embedded systems are an integral component of modern life, and is a continually growing market. As the computational needs of the products in this market becomes more sophisticated, there will be more challenges in meeting the tight constraints imposed by these systems. Improvements in the performance and in particular the energy efficiency of such devices would have a substantial impact in terms of improved functionality, device longevity, and resource conservation. This proposal involves collaboration between two disciplines, computer engineering and computer science, and two institutions. Broader impacts of the proposal include development of workshops focused on multicore and parallel computing with special emphasis on encouraging women and under-represented minorities to participate. In addition, the findings of this project will be integrated into existing courses, specifically aiming to introduce cross-cutting issues between the computer science and engineering courses.