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、家庭娱乐中心等？环境智能系统在日常生活中变得越来越重要。使这种系统具有能源效率提出了新的挑战，对经济和环境产生了广泛的影响。 这种高端嵌入式系统是多核架构，需要管理资源，如内存连接和调度。该建议研究了高端嵌入式系统中不受实时约束的系统级并发问题的能源影响。特别是，它旨在开发同步内存访问的节能技术，并试图了解硬件和软件之间的任务的最佳划分。嵌入式系统是现代生活中不可或缺的组成部分，并且是一个不断增长的市场。随着该市场中产品的计算需求变得更加复杂，在满足这些系统所施加的严格约束方面将面临更多挑战。这些设备的性能的改进，特别是能量效率的改进，将在改进的功能、设备寿命和资源节约方面产生重大影响。 这项建议涉及两个学科，计算机工程和计算机科学，以及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代表性不足的少数群体参与。此外，该项目的研究结果将被纳入现有课程，特别是旨在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.